Data Understanding

Pengumpulan Data

from google.colab import files
uploaded = files.upload()

import pandas as pd


data = pd.read_csv("cirrhosis.csv")

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[1], line 1
----> 1 from google.colab import files
      2 uploaded = files.upload()
      4 import pandas as pd

ModuleNotFoundError: No module named 'google'

Tampilan Data

import pandas as pd
from IPython.display import display, HTML

data = pd.read_csv("cirrhosis.csv")

pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)

html_table = data.to_html(classes='table table-striped', border=0)
display(HTML(f"""
<div style="height: 500px; overflow-y: scroll; border:1px solid #ddd; padding:10px">
{html_table}
</div>
"""))

	ID	N_Days	Status	Drug	Age	Sex	Ascites	Hepatomegaly	Spiders	Edema	Bilirubin	Cholesterol	Albumin	Copper	Alk_Phos	SGOT	Tryglicerides	Platelets	Prothrombin	Stage
0	1	400	D	D-penicillamine	21464	F	Y	Y	Y	Y	14.5	261.0	2.60	156.0	1718.0	137.95	172.0	190.0	12.2	4.0
1	2	4500	C	D-penicillamine	20617	F	N	Y	Y	N	1.1	302.0	4.14	54.0	7394.8	113.52	88.0	221.0	10.6	3.0
2	3	1012	D	D-penicillamine	25594	M	N	N	N	S	1.4	176.0	3.48	210.0	516.0	96.10	55.0	151.0	12.0	4.0
3	4	1925	D	D-penicillamine	19994	F	N	Y	Y	S	1.8	244.0	2.54	64.0	6121.8	60.63	92.0	183.0	10.3	4.0
4	5	1504	CL	Placebo	13918	F	N	Y	Y	N	3.4	279.0	3.53	143.0	671.0	113.15	72.0	136.0	10.9	3.0
5	6	2503	D	Placebo	24201	F	N	Y	N	N	0.8	248.0	3.98	50.0	944.0	93.00	63.0	NaN	11.0	3.0
6	7	1832	C	Placebo	20284	F	N	Y	N	N	1.0	322.0	4.09	52.0	824.0	60.45	213.0	204.0	9.7	3.0
7	8	2466	D	Placebo	19379	F	N	N	N	N	0.3	280.0	4.00	52.0	4651.2	28.38	189.0	373.0	11.0	3.0
8	9	2400	D	D-penicillamine	15526	F	N	N	Y	N	3.2	562.0	3.08	79.0	2276.0	144.15	88.0	251.0	11.0	2.0
9	10	51	D	Placebo	25772	F	Y	N	Y	Y	12.6	200.0	2.74	140.0	918.0	147.25	143.0	302.0	11.5	4.0
10	11	3762	D	Placebo	19619	F	N	Y	Y	N	1.4	259.0	4.16	46.0	1104.0	79.05	79.0	258.0	12.0	4.0
11	12	304	D	Placebo	21600	F	N	N	Y	N	3.6	236.0	3.52	94.0	591.0	82.15	95.0	71.0	13.6	4.0
12	13	3577	C	Placebo	16688	F	N	N	N	N	0.7	281.0	3.85	40.0	1181.0	88.35	130.0	244.0	10.6	3.0
13	14	1217	D	Placebo	20535	M	Y	Y	N	Y	0.8	NaN	2.27	43.0	728.0	71.00	NaN	156.0	11.0	4.0
14	15	3584	D	D-penicillamine	23612	F	N	N	N	N	0.8	231.0	3.87	173.0	9009.8	127.71	96.0	295.0	11.0	3.0
15	16	3672	C	Placebo	14772	F	N	N	N	N	0.7	204.0	3.66	28.0	685.0	72.85	58.0	198.0	10.8	3.0
16	17	769	D	Placebo	19060	F	N	Y	N	N	2.7	274.0	3.15	159.0	1533.0	117.80	128.0	224.0	10.5	4.0
17	18	131	D	D-penicillamine	19698	F	N	Y	Y	Y	11.4	178.0	2.80	588.0	961.0	280.55	200.0	283.0	12.4	4.0
18	19	4232	C	D-penicillamine	18102	F	N	Y	N	S	0.7	235.0	3.56	39.0	1881.0	93.00	123.0	209.0	11.0	3.0
19	20	1356	D	Placebo	21898	F	N	Y	N	N	5.1	374.0	3.51	140.0	1919.0	122.45	135.0	322.0	13.0	4.0
20	21	3445	C	Placebo	23445	M	N	Y	Y	N	0.6	252.0	3.83	41.0	843.0	65.10	83.0	336.0	11.4	4.0
21	22	673	D	D-penicillamine	20555	F	N	N	Y	N	3.4	271.0	3.63	464.0	1376.0	120.90	55.0	173.0	11.6	4.0
22	23	264	D	Placebo	20442	F	Y	Y	Y	Y	17.4	395.0	2.94	558.0	6064.8	227.04	191.0	214.0	11.7	4.0
23	24	4079	D	D-penicillamine	16261	M	N	Y	N	N	2.1	456.0	4.00	124.0	5719.0	221.88	230.0	70.0	9.9	2.0
24	25	4127	C	Placebo	16463	F	N	N	N	N	0.7	298.0	4.10	40.0	661.0	106.95	66.0	324.0	11.3	2.0
25	26	1444	D	Placebo	19002	F	N	Y	Y	N	5.2	1128.0	3.68	53.0	3228.0	165.85	166.0	421.0	9.9	3.0
26	27	77	D	Placebo	19884	F	Y	Y	Y	S	21.6	175.0	3.31	221.0	3697.4	101.91	168.0	80.0	12.0	4.0
27	28	549	D	Placebo	16417	F	Y	Y	Y	Y	17.2	222.0	3.23	209.0	1975.0	189.10	195.0	144.0	13.0	4.0
28	29	4509	C	Placebo	23331	F	N	N	N	N	0.7	370.0	3.78	24.0	5833.0	73.53	86.0	390.0	10.6	2.0
29	30	321	D	Placebo	15116	F	N	Y	Y	N	3.6	260.0	2.54	172.0	7277.0	121.26	158.0	124.0	11.0	4.0
30	31	3839	D	Placebo	15177	F	N	Y	N	N	4.7	296.0	3.44	114.0	9933.2	206.40	101.0	195.0	10.3	2.0
31	32	4523	C	Placebo	19722	F	N	Y	N	N	1.8	262.0	3.34	101.0	7277.0	82.56	158.0	286.0	10.6	4.0
32	33	3170	D	Placebo	18731	F	N	N	N	N	0.8	210.0	3.19	82.0	1592.0	218.55	113.0	180.0	12.0	3.0
33	34	3933	C	D-penicillamine	19015	F	N	N	N	N	0.8	364.0	3.70	37.0	1840.0	170.50	64.0	273.0	10.5	2.0
34	35	2847	D	Placebo	17758	F	N	N	N	N	1.2	314.0	3.20	201.0	12258.8	72.24	151.0	431.0	10.6	3.0
35	36	3611	C	Placebo	20604	F	N	N	N	N	0.3	172.0	3.39	18.0	558.0	71.30	96.0	311.0	10.6	2.0
36	37	223	D	D-penicillamine	22546	F	Y	Y	N	Y	7.1	334.0	3.01	150.0	6931.2	180.60	118.0	102.0	12.0	4.0
37	38	3244	D	Placebo	13378	F	N	Y	Y	N	3.3	383.0	3.53	102.0	1234.0	137.95	87.0	234.0	11.0	4.0
38	39	2297	D	D-penicillamine	20232	F	N	Y	N	N	0.7	282.0	3.00	52.0	9066.8	72.24	111.0	563.0	10.6	4.0
39	40	4467	C	D-penicillamine	17046	F	N	N	N	N	1.3	NaN	3.34	105.0	11046.6	104.49	NaN	358.0	11.0	4.0
40	41	1350	D	D-penicillamine	12285	F	N	Y	N	N	6.8	NaN	3.26	96.0	1215.0	151.90	NaN	226.0	11.7	4.0
41	42	4453	C	Placebo	12307	F	N	Y	Y	N	2.1	NaN	3.54	122.0	8778.0	56.76	NaN	344.0	11.0	4.0
42	43	4556	C	D-penicillamine	17850	F	N	N	N	N	1.1	361.0	3.64	36.0	5430.2	67.08	89.0	203.0	10.6	2.0
43	44	3428	D	Placebo	13727	F	N	Y	Y	Y	3.3	299.0	3.55	131.0	1029.0	119.35	50.0	199.0	11.7	3.0
44	45	4025	C	Placebo	15265	F	N	N	N	N	0.6	NaN	3.93	19.0	1826.0	71.30	NaN	474.0	10.9	2.0
45	46	2256	D	D-penicillamine	16728	F	N	Y	N	N	5.7	482.0	2.84	161.0	11552.0	136.74	165.0	518.0	12.7	3.0
46	47	2576	C	Placebo	17323	F	N	N	N	N	0.5	316.0	3.65	68.0	1716.0	187.55	71.0	356.0	9.8	3.0
47	48	4427	C	Placebo	17947	M	N	N	N	N	1.9	259.0	3.70	281.0	10396.8	188.34	178.0	214.0	11.0	3.0
48	49	708	D	Placebo	22336	F	N	Y	N	N	0.8	NaN	3.82	58.0	678.0	97.65	NaN	233.0	11.0	4.0
49	50	2598	D	D-penicillamine	19544	F	N	Y	N	N	1.1	257.0	3.36	43.0	1080.0	106.95	73.0	128.0	10.6	4.0
50	51	3853	D	Placebo	19025	F	N	N	N	N	0.8	276.0	3.60	54.0	4332.0	99.33	143.0	273.0	10.6	2.0
51	52	2386	D	D-penicillamine	18460	M	N	N	N	N	6.0	614.0	3.70	158.0	5084.4	206.40	93.0	362.0	10.6	1.0
52	53	1000	D	D-penicillamine	24621	F	N	Y	N	N	2.6	NaN	3.10	94.0	6456.2	56.76	NaN	214.0	11.0	4.0
53	54	1434	D	D-penicillamine	14317	F	Y	Y	Y	Y	1.3	288.0	3.40	262.0	5487.2	73.53	125.0	254.0	11.0	4.0
54	55	1360	D	D-penicillamine	24020	M	N	N	N	N	1.8	416.0	3.94	121.0	10165.0	79.98	219.0	213.0	11.0	3.0
55	56	1847	D	Placebo	12279	F	N	Y	Y	N	1.1	498.0	3.80	88.0	13862.4	95.46	319.0	365.0	10.6	2.0
56	57	3282	D	D-penicillamine	19567	F	N	Y	N	S	2.3	260.0	3.18	231.0	11320.2	105.78	94.0	216.0	12.4	3.0
57	58	4459	C	D-penicillamine	16279	M	N	N	N	N	0.7	242.0	4.08	73.0	5890.0	56.76	118.0	NaN	10.6	1.0
58	59	2224	D	D-penicillamine	14754	F	N	Y	Y	N	0.8	329.0	3.50	49.0	7622.8	126.42	124.0	321.0	10.6	3.0
59	60	4365	C	D-penicillamine	21324	F	N	N	N	N	0.9	604.0	3.40	82.0	876.0	71.30	58.0	228.0	10.3	3.0
60	61	4256	C	Placebo	16034	M	N	N	N	N	0.6	216.0	3.94	28.0	601.0	60.45	188.0	211.0	13.0	1.0
61	62	3090	D	Placebo	22173	F	Y	N	N	N	1.3	302.0	2.75	58.0	1523.0	43.40	112.0	329.0	13.2	4.0
62	63	859	D	Placebo	17031	F	N	N	Y	Y	22.5	932.0	3.12	95.0	5396.0	244.90	133.0	165.0	11.6	3.0
63	64	1487	D	Placebo	22977	F	N	Y	N	N	2.1	373.0	3.50	52.0	1009.0	150.35	188.0	178.0	11.0	3.0
64	65	3992	C	D-penicillamine	14684	F	N	N	N	N	1.2	256.0	3.60	74.0	724.0	141.05	108.0	430.0	10.0	1.0
65	66	4191	D	D-penicillamine	16967	M	N	Y	N	N	1.4	427.0	3.70	105.0	1909.0	182.90	171.0	123.0	11.0	3.0
66	67	2769	D	Placebo	18733	F	N	N	N	N	1.1	466.0	3.91	84.0	1787.0	328.60	185.0	261.0	10.0	3.0
67	68	4039	C	D-penicillamine	11912	F	N	N	N	N	0.7	174.0	4.09	58.0	642.0	71.30	46.0	203.0	10.6	3.0
68	69	1170	D	D-penicillamine	18021	F	N	Y	Y	S	20.0	652.0	3.46	159.0	3292.0	215.45	184.0	227.0	12.4	3.0
69	70	3458	C	D-penicillamine	20600	F	N	N	N	N	0.6	NaN	4.64	20.0	666.0	54.25	NaN	265.0	10.6	2.0
70	71	4196	C	Placebo	17841	F	N	Y	N	N	1.2	258.0	3.57	79.0	2201.0	120.90	76.0	410.0	11.5	4.0
71	72	4184	C	Placebo	11868	F	N	N	N	N	0.5	320.0	3.54	51.0	1243.0	122.45	80.0	225.0	10.0	3.0
72	73	4190	C	Placebo	14060	F	N	N	N	N	0.7	132.0	3.60	17.0	423.0	49.60	56.0	265.0	11.0	1.0
73	74	1827	D	D-penicillamine	18964	F	N	Y	Y	N	8.4	558.0	3.99	280.0	967.0	89.90	309.0	278.0	11.0	4.0
74	75	1191	D	D-penicillamine	15895	F	Y	Y	Y	S	17.1	674.0	2.53	207.0	2078.0	182.90	598.0	268.0	11.5	4.0
75	76	71	D	D-penicillamine	18972	F	N	Y	Y	S	12.2	394.0	3.08	111.0	2132.0	155.00	243.0	165.0	11.6	4.0
76	77	326	D	Placebo	18199	F	N	Y	Y	S	6.6	244.0	3.41	199.0	1819.0	170.50	91.0	132.0	12.1	3.0
77	78	1690	D	D-penicillamine	17512	F	N	Y	N	N	6.3	436.0	3.02	75.0	2176.0	170.50	104.0	236.0	10.6	4.0
78	79	3707	C	D-penicillamine	16990	F	N	Y	N	N	0.8	315.0	4.24	13.0	1637.0	170.50	70.0	426.0	10.9	3.0
79	80	890	D	Placebo	24622	M	N	Y	N	N	7.2	247.0	3.72	269.0	1303.0	176.70	91.0	360.0	11.2	4.0
80	81	2540	D	D-penicillamine	23107	F	N	Y	Y	N	14.4	448.0	3.65	34.0	1218.0	60.45	318.0	385.0	11.7	4.0
81	82	3574	D	D-penicillamine	24585	F	N	N	N	N	4.5	472.0	4.09	154.0	1580.0	117.80	272.0	412.0	11.1	3.0
82	83	4050	C	D-penicillamine	20459	F	N	Y	N	S	1.3	250.0	3.50	48.0	1138.0	71.30	100.0	81.0	12.9	4.0
83	84	4032	C	Placebo	20392	F	N	N	N	N	0.4	263.0	3.76	29.0	1345.0	137.95	74.0	181.0	11.2	3.0
84	85	3358	D	Placebo	17246	F	N	Y	N	N	2.1	262.0	3.48	58.0	2045.0	89.90	84.0	225.0	11.5	4.0
85	86	1657	D	D-penicillamine	19270	F	N	Y	Y	N	5.0	1600.0	3.21	75.0	2656.0	82.15	174.0	181.0	10.9	3.0
86	87	198	D	D-penicillamine	13616	F	N	N	N	N	1.1	345.0	4.40	75.0	1860.0	218.55	72.0	447.0	10.7	3.0
87	88	2452	C	Placebo	15119	F	N	N	N	S	0.6	296.0	4.06	37.0	1032.0	80.60	83.0	442.0	12.0	3.0
88	89	1741	D	D-penicillamine	19155	F	N	Y	N	N	2.0	408.0	3.65	50.0	1083.0	110.05	98.0	200.0	11.4	2.0
89	90	2689	D	D-penicillamine	12227	M	N	N	N	N	1.6	660.0	4.22	94.0	1857.0	151.90	155.0	337.0	11.0	2.0
90	91	460	D	Placebo	16658	F	N	Y	Y	S	5.0	325.0	3.47	110.0	2460.0	246.45	56.0	430.0	11.9	4.0
91	92	388	D	D-penicillamine	28018	F	Y	N	N	Y	1.4	206.0	3.13	36.0	1626.0	86.80	70.0	145.0	12.2	4.0
92	93	3913	C	D-penicillamine	13344	F	N	N	N	N	1.3	353.0	3.67	73.0	2039.0	232.50	68.0	380.0	11.1	2.0
93	94	750	D	D-penicillamine	19693	F	N	Y	Y	N	3.2	201.0	3.11	178.0	1212.0	159.65	69.0	188.0	11.8	4.0
94	95	130	D	Placebo	16944	F	Y	Y	Y	Y	17.4	NaN	2.64	182.0	559.0	119.35	NaN	401.0	11.7	2.0
95	96	3850	C	D-penicillamine	17841	F	N	N	N	N	1.0	NaN	3.70	33.0	1258.0	99.20	NaN	338.0	10.4	3.0
96	97	611	D	Placebo	26259	M	N	Y	N	S	2.0	420.0	3.26	62.0	3196.0	77.50	91.0	344.0	11.4	3.0
97	98	3823	C	D-penicillamine	10550	F	N	N	N	N	1.0	239.0	3.77	77.0	1877.0	97.65	101.0	312.0	10.2	1.0
98	99	3820	C	Placebo	17703	M	N	N	N	N	1.8	460.0	3.35	148.0	1472.0	108.50	118.0	172.0	10.2	2.0
99	100	552	D	Placebo	18799	M	N	Y	N	N	2.3	178.0	3.00	145.0	746.0	178.25	122.0	119.0	12.0	4.0
100	101	3581	C	Placebo	16418	F	N	N	N	N	0.9	400.0	3.60	31.0	1689.0	164.30	166.0	327.0	10.4	3.0
101	102	3099	C	D-penicillamine	20662	F	N	N	N	N	0.9	248.0	3.97	172.0	646.0	62.00	84.0	128.0	10.1	1.0
102	103	110	D	Placebo	17884	F	Y	Y	Y	Y	2.5	188.0	3.67	57.0	1273.0	119.35	102.0	110.0	11.1	4.0
103	104	3086	D	D-penicillamine	15712	F	N	N	N	N	1.1	303.0	3.64	20.0	2108.0	128.65	53.0	349.0	11.1	2.0
104	105	3092	CL	Placebo	12433	F	N	Y	N	N	1.1	464.0	4.20	38.0	1644.0	151.90	102.0	348.0	10.3	3.0
105	106	3222	D	D-penicillamine	25023	F	Y	Y	N	N	2.1	NaN	3.90	50.0	1087.0	103.85	NaN	137.0	10.6	2.0
106	107	3388	C	Placebo	22836	F	N	N	N	N	0.6	212.0	4.03	10.0	648.0	71.30	77.0	316.0	17.1	1.0
107	108	2583	D	D-penicillamine	18393	F	N	N	N	N	0.4	127.0	3.50	14.0	1062.0	49.60	84.0	334.0	10.3	2.0
108	109	2504	C	Placebo	16094	F	N	N	N	N	0.5	120.0	3.61	53.0	804.0	110.05	52.0	271.0	10.6	3.0
109	110	2105	D	D-penicillamine	14212	F	N	Y	Y	N	1.9	486.0	3.54	74.0	1052.0	108.50	109.0	141.0	10.9	3.0
110	111	2350	CL	D-penicillamine	15031	F	N	N	N	N	5.5	528.0	4.18	77.0	2404.0	172.05	78.0	467.0	10.7	3.0
111	112	3445	D	Placebo	20256	F	N	Y	Y	N	2.0	267.0	3.67	89.0	754.0	196.85	90.0	136.0	11.8	4.0
112	113	980	D	D-penicillamine	18713	F	N	Y	Y	N	6.7	374.0	3.74	103.0	979.0	128.65	100.0	266.0	11.1	4.0
113	114	3395	D	Placebo	19295	M	N	N	N	N	3.2	259.0	4.30	208.0	1040.0	110.05	78.0	268.0	11.7	3.0
114	115	3422	C	Placebo	15574	F	N	N	Y	N	0.7	303.0	4.19	81.0	1584.0	111.60	156.0	307.0	10.3	3.0
115	116	3336	C	D-penicillamine	22306	F	N	N	Y	S	3.0	458.0	3.63	74.0	1588.0	106.95	382.0	438.0	9.9	3.0
116	117	1083	D	D-penicillamine	18137	F	N	Y	Y	N	6.5	950.0	3.11	111.0	2374.0	170.50	149.0	354.0	11.0	4.0
117	118	2288	D	D-penicillamine	17844	F	N	Y	N	N	3.5	390.0	3.30	67.0	878.0	137.95	93.0	207.0	10.2	3.0
118	119	515	D	D-penicillamine	19817	F	N	N	Y	N	0.6	636.0	3.83	129.0	944.0	97.65	114.0	306.0	9.5	3.0
119	120	2033	CL	D-penicillamine	12839	M	N	N	N	N	3.5	325.0	3.98	444.0	766.0	130.20	210.0	344.0	10.6	3.0
120	121	191	D	Placebo	24803	M	Y	Y	N	Y	1.3	151.0	3.08	73.0	1112.0	46.50	49.0	213.0	13.2	4.0
121	122	3297	C	D-penicillamine	20248	F	N	N	N	N	0.6	298.0	4.13	29.0	758.0	65.10	85.0	256.0	10.7	3.0
122	123	971	D	D-penicillamine	16736	F	N	Y	Y	Y	5.1	NaN	3.23	18.0	790.0	179.80	NaN	104.0	13.0	4.0
123	124	3069	C	D-penicillamine	19318	M	N	Y	N	N	0.6	251.0	3.90	25.0	681.0	57.35	107.0	182.0	10.8	4.0
124	125	2468	CL	Placebo	17233	F	N	Y	N	N	1.3	316.0	3.51	75.0	1162.0	147.25	137.0	238.0	10.0	4.0
125	126	824	D	D-penicillamine	19577	F	Y	Y	Y	N	1.2	269.0	3.12	NaN	1441.0	165.85	68.0	166.0	11.1	4.0
126	127	3255	C	Placebo	16109	F	N	N	N	N	0.5	268.0	4.08	9.0	1174.0	86.80	95.0	453.0	10.0	2.0
127	128	1037	D	D-penicillamine	15322	F	N	Y	Y	N	16.2	NaN	2.89	42.0	1828.0	299.15	NaN	123.0	12.6	4.0
128	129	3239	C	D-penicillamine	23235	F	N	Y	N	N	0.9	420.0	3.87	30.0	1009.0	57.35	232.0	NaN	9.7	3.0
129	130	1413	D	Placebo	16154	F	N	Y	Y	N	17.4	1775.0	3.43	205.0	2065.0	165.85	97.0	418.0	11.5	3.0
130	131	850	D	Placebo	22646	F	N	Y	Y	N	2.8	242.0	3.80	74.0	614.0	136.40	104.0	121.0	13.2	4.0
131	132	2944	C	D-penicillamine	14812	F	N	N	N	N	1.9	448.0	3.83	60.0	1052.0	127.10	175.0	181.0	9.8	3.0
132	133	2796	D	Placebo	22881	M	N	N	N	N	1.5	331.0	3.95	13.0	577.0	128.65	99.0	165.0	10.1	4.0
133	134	3149	C	Placebo	15463	F	N	N	N	N	0.7	578.0	3.67	35.0	1353.0	127.10	105.0	427.0	10.7	2.0
134	135	3150	C	D-penicillamine	15694	F	N	N	N	N	0.4	263.0	3.57	123.0	836.0	74.40	121.0	445.0	11.0	2.0
135	136	3098	C	D-penicillamine	20440	F	N	N	N	N	0.8	263.0	3.35	27.0	1636.0	116.25	69.0	206.0	9.8	2.0
136	137	2990	C	D-penicillamine	22960	F	N	N	N	N	1.1	399.0	3.60	79.0	3472.0	155.00	152.0	344.0	10.1	2.0
137	138	1297	D	D-penicillamine	18719	M	N	Y	N	N	7.3	426.0	3.93	262.0	2424.0	145.70	218.0	252.0	10.5	3.0
138	139	2106	C	Placebo	17080	F	N	Y	N	N	1.1	328.0	3.31	159.0	1260.0	94.55	134.0	142.0	11.6	4.0
139	140	3059	C	D-penicillamine	19751	F	N	Y	N	N	1.1	290.0	4.09	38.0	2120.0	186.00	146.0	318.0	10.0	3.0
140	141	3050	C	D-penicillamine	17180	F	N	N	N	N	0.9	346.0	3.77	59.0	794.0	125.55	56.0	336.0	10.6	2.0
141	142	2419	D	Placebo	20354	F	N	Y	N	N	1.0	364.0	3.48	20.0	720.0	134.85	88.0	283.0	9.9	2.0
142	143	786	D	Placebo	16839	F	N	Y	N	N	2.9	332.0	3.60	86.0	1492.0	134.85	103.0	277.0	11.0	4.0
143	144	943	D	Placebo	19098	F	N	Y	N	S	28.0	556.0	3.26	152.0	3896.0	198.40	171.0	335.0	10.0	3.0
144	145	2976	C	Placebo	18701	F	N	N	Y	N	0.7	309.0	3.84	96.0	858.0	41.85	106.0	253.0	11.4	3.0
145	146	2615	C	Placebo	12369	F	N	N	N	S	1.2	NaN	3.89	58.0	1284.0	173.60	NaN	239.0	9.4	3.0
146	147	2995	C	D-penicillamine	27398	F	N	N	N	S	1.2	288.0	3.37	32.0	791.0	57.35	114.0	213.0	10.7	2.0
147	148	1427	D	Placebo	11273	F	N	Y	N	N	7.2	1015.0	3.26	247.0	3836.0	198.40	280.0	330.0	9.8	3.0
148	149	762	D	D-penicillamine	22574	M	N	Y	Y	S	3.0	257.0	3.79	290.0	1664.0	102.30	112.0	140.0	9.9	4.0
149	150	2891	C	Placebo	12779	F	N	N	Y	N	1.0	NaN	3.63	57.0	1536.0	134.85	NaN	233.0	10.0	1.0
150	151	2870	C	D-penicillamine	20104	F	N	N	N	N	0.9	460.0	3.03	57.0	721.0	85.25	174.0	301.0	9.4	2.0
151	152	1152	D	D-penicillamine	25546	M	N	Y	N	N	2.3	586.0	3.01	243.0	2276.0	114.70	126.0	339.0	10.9	3.0
152	153	2863	C	D-penicillamine	18118	F	N	N	N	N	0.5	217.0	3.85	68.0	453.0	54.25	68.0	270.0	11.1	1.0
153	154	140	D	D-penicillamine	25340	M	N	N	Y	Y	2.4	168.0	2.56	225.0	1056.0	120.90	75.0	108.0	14.1	3.0
154	155	2666	C	Placebo	15909	F	N	Y	Y	S	0.6	220.0	3.35	57.0	1620.0	153.45	80.0	311.0	11.2	4.0
155	156	853	D	Placebo	21699	F	N	Y	N	N	25.5	358.0	3.52	219.0	2468.0	201.50	205.0	151.0	11.5	2.0
156	157	2835	C	Placebo	17809	F	N	N	N	N	0.6	286.0	3.42	34.0	1868.0	77.50	206.0	487.0	10.0	2.0
157	158	2475	CL	D-penicillamine	13329	F	N	N	N	N	3.4	450.0	3.37	32.0	1408.0	116.25	118.0	313.0	11.2	2.0
158	159	1536	D	Placebo	16714	M	N	N	N	N	2.5	317.0	3.46	217.0	714.0	130.20	140.0	207.0	10.1	3.0
159	160	2772	C	Placebo	20955	F	N	N	N	N	0.6	217.0	3.62	13.0	414.0	75.95	119.0	224.0	10.5	3.0
160	161	2797	C	Placebo	15612	F	N	N	N	N	2.3	502.0	3.56	4.0	964.0	120.90	180.0	269.0	9.6	2.0
161	162	186	D	Placebo	21483	F	N	Y	Y	N	3.2	260.0	3.19	91.0	815.0	127.10	101.0	160.0	12.0	4.0
162	163	2055	D	D-penicillamine	19540	F	N	N	N	N	0.3	233.0	4.08	20.0	622.0	66.65	68.0	358.0	9.9	3.0
163	164	264	D	Placebo	15857	F	N	Y	Y	S	8.5	NaN	3.34	161.0	1428.0	181.35	NaN	88.0	13.3	4.0
164	165	1077	D	D-penicillamine	19470	M	N	Y	N	N	4.0	196.0	3.45	80.0	2496.0	133.30	142.0	212.0	11.3	4.0
165	166	2721	C	Placebo	15105	F	N	Y	N	N	5.7	1480.0	3.26	84.0	1960.0	457.25	108.0	213.0	9.5	2.0
166	167	1682	D	D-penicillamine	22265	M	N	Y	N	N	0.9	376.0	3.86	200.0	1015.0	83.70	154.0	238.0	10.3	4.0
167	168	2713	C	Placebo	17442	F	N	Y	N	N	0.4	257.0	3.80	44.0	842.0	97.65	110.0	NaN	9.2	2.0
168	169	1212	D	Placebo	12963	F	N	N	N	N	1.3	408.0	4.22	67.0	1387.0	142.60	137.0	295.0	10.1	3.0
169	170	2692	C	D-penicillamine	17774	F	N	N	N	N	1.2	390.0	3.61	32.0	1509.0	88.35	52.0	263.0	9.0	3.0
170	171	2574	C	D-penicillamine	19237	F	N	N	N	N	0.5	NaN	4.52	31.0	784.0	74.40	NaN	361.0	10.1	3.0
171	172	2301	C	Placebo	18215	F	N	N	Y	N	1.3	205.0	3.34	65.0	1031.0	91.45	126.0	217.0	9.8	3.0
172	173	2657	C	D-penicillamine	11058	F	N	Y	Y	N	3.0	236.0	3.42	76.0	1403.0	89.90	86.0	493.0	9.8	2.0
173	174	2644	C	D-penicillamine	20296	F	N	N	N	N	0.5	NaN	3.85	63.0	663.0	79.05	NaN	311.0	9.7	1.0
174	175	2624	C	Placebo	19049	F	N	N	N	N	0.8	283.0	3.80	152.0	718.0	108.50	168.0	340.0	10.1	3.0
175	176	1492	D	D-penicillamine	15198	F	N	Y	Y	N	3.2	NaN	3.56	77.0	1790.0	139.50	NaN	149.0	10.1	4.0
176	177	2609	C	Placebo	20254	F	N	N	N	N	0.9	258.0	4.01	49.0	559.0	43.40	133.0	277.0	10.4	2.0
177	178	2580	C	D-penicillamine	25569	F	N	N	N	N	0.6	NaN	4.08	51.0	665.0	74.40	NaN	325.0	10.2	4.0
178	179	2573	C	Placebo	16050	F	N	Y	N	N	1.8	396.0	3.83	39.0	2148.0	102.30	133.0	278.0	9.9	4.0
179	180	2563	C	Placebo	15548	F	N	N	N	N	4.7	478.0	4.38	44.0	1629.0	237.15	76.0	175.0	10.4	3.0
180	181	2556	C	D-penicillamine	16279	F	N	Y	Y	N	1.4	248.0	3.58	63.0	554.0	75.95	106.0	79.0	10.3	4.0
181	182	2555	C	D-penicillamine	20799	F	N	Y	N	N	0.6	NaN	3.69	161.0	674.0	26.35	NaN	539.0	9.9	2.0
182	183	2241	CL	Placebo	14705	F	N	N	N	N	0.5	201.0	3.73	44.0	1345.0	54.25	145.0	445.0	10.1	2.0
183	184	974	D	Placebo	13736	F	N	Y	N	N	11.0	674.0	3.55	358.0	2412.0	167.40	140.0	471.0	9.8	3.0
184	185	2527	C	D-penicillamine	17664	F	N	N	N	N	0.8	256.0	3.54	42.0	1132.0	74.40	94.0	192.0	10.5	3.0
185	186	1576	D	D-penicillamine	25873	F	N	N	Y	S	2.0	225.0	3.53	51.0	933.0	69.75	62.0	200.0	12.7	3.0
186	187	733	D	Placebo	13073	F	N	Y	N	N	14.0	808.0	3.43	251.0	2870.0	153.45	137.0	268.0	11.5	3.0
187	188	2332	C	D-penicillamine	22873	F	N	Y	N	N	0.7	187.0	3.48	41.0	654.0	120.90	98.0	164.0	11.0	4.0
188	189	2456	C	Placebo	18499	F	N	Y	N	N	1.3	360.0	3.63	52.0	1812.0	97.65	164.0	256.0	9.9	3.0
189	190	2504	C	D-penicillamine	19916	F	N	N	Y	N	2.3	NaN	3.93	24.0	1828.0	133.30	NaN	327.0	10.2	2.0
190	191	216	D	Placebo	19246	F	Y	Y	Y	N	24.5	1092.0	3.35	233.0	3740.0	147.25	432.0	399.0	15.2	4.0
191	192	2443	C	D-penicillamine	19256	F	N	Y	N	N	0.9	308.0	3.69	67.0	696.0	51.15	101.0	344.0	9.8	4.0
192	193	797	D	Placebo	20736	F	N	N	N	N	10.8	932.0	3.19	267.0	2184.0	161.20	157.0	382.0	10.4	4.0
193	194	2449	C	D-penicillamine	16216	F	N	N	N	N	1.5	293.0	4.30	50.0	975.0	125.55	56.0	336.0	9.1	2.0
194	195	2330	C	D-penicillamine	10795	F	N	Y	N	N	3.7	347.0	3.90	76.0	2544.0	221.65	90.0	129.0	11.5	4.0
195	196	2363	C	D-penicillamine	20834	F	N	Y	Y	N	1.4	226.0	3.36	13.0	810.0	72.85	62.0	117.0	11.6	4.0
196	197	2365	C	D-penicillamine	16300	F	N	N	N	N	0.6	266.0	3.97	25.0	1164.0	102.30	102.0	201.0	10.1	2.0
197	198	2357	C	Placebo	13075	F	N	N	Y	N	0.7	286.0	2.90	38.0	1692.0	141.05	90.0	381.0	9.6	2.0
198	199	1592	C	D-penicillamine	14872	F	N	N	N	N	2.1	392.0	3.43	52.0	1395.0	184.45	194.0	328.0	10.2	3.0
199	200	2318	C	Placebo	11773	F	N	N	Y	N	4.7	236.0	3.55	112.0	1391.0	137.95	114.0	332.0	9.9	3.0
200	201	2294	C	Placebo	15009	F	N	Y	N	N	0.6	235.0	3.20	26.0	1758.0	106.95	67.0	228.0	10.8	4.0
201	202	2272	C	D-penicillamine	22514	F	N	N	N	N	0.5	223.0	3.80	15.0	1044.0	80.60	89.0	514.0	10.0	2.0
202	203	2221	C	Placebo	13535	F	N	Y	N	N	0.5	149.0	4.04	227.0	598.0	52.70	57.0	166.0	9.9	2.0
203	204	2090	D	Placebo	22857	F	N	N	N	N	0.7	255.0	3.74	23.0	1024.0	77.50	58.0	281.0	10.2	3.0
204	205	2081	D	D-penicillamine	17889	F	Y	N	N	N	2.5	382.0	3.55	108.0	1516.0	238.70	NaN	126.0	10.3	3.0
205	206	2255	C	D-penicillamine	22642	F	N	N	N	N	0.6	213.0	4.07	12.0	5300.0	57.35	68.0	240.0	11.0	1.0
206	207	2171	C	D-penicillamine	26580	F	N	N	N	S	0.6	NaN	3.33	14.0	733.0	85.25	NaN	259.0	10.1	4.0
207	208	904	D	D-penicillamine	22388	F	N	Y	N	N	3.9	396.0	3.20	58.0	1440.0	153.45	131.0	156.0	10.0	4.0
208	209	2216	C	Placebo	19221	F	N	Y	Y	N	0.7	252.0	4.01	11.0	1210.0	72.85	58.0	309.0	9.5	2.0
209	210	2224	C	Placebo	18176	M	N	Y	N	N	0.9	346.0	3.37	81.0	1098.0	122.45	90.0	298.0	10.0	2.0
210	211	2195	C	Placebo	19327	F	N	N	N	N	1.3	NaN	3.76	27.0	1282.0	100.75	NaN	114.0	10.3	3.0
211	212	2176	C	Placebo	17263	F	N	N	N	N	1.2	232.0	3.98	11.0	1074.0	100.75	99.0	223.0	9.9	3.0
212	213	2178	C	D-penicillamine	18337	F	N	N	Y	N	0.5	400.0	3.40	9.0	1134.0	96.10	55.0	356.0	10.2	3.0
213	214	1786	D	Placebo	25329	F	N	Y	N	N	0.9	404.0	3.43	34.0	1866.0	79.05	224.0	236.0	9.9	3.0
214	215	1080	D	Placebo	15037	F	N	N	N	N	5.9	1276.0	3.85	141.0	1204.0	203.05	157.0	216.0	10.7	3.0
215	216	2168	C	D-penicillamine	21610	F	N	N	N	N	0.5	NaN	3.68	20.0	856.0	55.80	NaN	146.0	10.4	3.0
216	217	790	D	Placebo	13178	F	N	Y	N	N	11.4	608.0	3.31	65.0	1790.0	151.90	210.0	298.0	10.8	4.0
217	218	2170	C	D-penicillamine	12636	F	N	N	N	N	0.5	NaN	3.89	29.0	897.0	66.65	NaN	423.0	10.1	1.0
218	219	2157	C	Placebo	15601	F	N	N	N	N	1.6	215.0	4.17	67.0	936.0	134.85	85.0	176.0	9.6	3.0
219	220	1235	D	D-penicillamine	23241	F	N	N	Y	N	3.8	426.0	3.22	96.0	2716.0	210.80	113.0	228.0	10.6	2.0
220	221	2050	C	Placebo	20684	F	N	Y	N	N	0.9	360.0	3.65	72.0	3186.0	94.55	154.0	269.0	9.7	4.0
221	222	597	D	Placebo	16898	F	N	Y	N	N	4.5	372.0	3.38	227.0	2310.0	167.40	135.0	240.0	12.4	3.0
222	223	334	D	D-penicillamine	22369	F	Y	Y	N	Y	14.1	448.0	2.43	123.0	1833.0	134.00	155.0	210.0	11.0	4.0
223	224	1945	C	D-penicillamine	14106	F	N	N	N	N	1.0	309.0	3.66	67.0	1214.0	158.10	101.0	309.0	9.7	3.0
224	225	2022	C	D-penicillamine	14161	F	N	N	N	N	0.7	274.0	3.66	108.0	1065.0	88.35	135.0	251.0	10.1	2.0
225	226	1978	C	Placebo	20708	F	N	Y	N	N	0.5	223.0	3.70	39.0	884.0	75.95	104.0	231.0	9.6	3.0
226	227	999	D	D-penicillamine	21532	M	N	N	N	N	2.3	316.0	3.35	172.0	1601.0	179.80	63.0	394.0	9.7	2.0
227	228	1967	C	Placebo	13486	F	N	N	N	N	0.7	215.0	3.35	41.0	645.0	93.00	74.0	165.0	9.6	3.0
228	229	348	D	D-penicillamine	22797	F	Y	Y	N	S	4.5	191.0	3.05	200.0	1020.0	175.15	118.0	139.0	11.4	4.0
229	230	1979	C	Placebo	12641	F	N	Y	Y	N	3.3	302.0	3.41	51.0	310.0	83.70	44.0	95.0	11.5	4.0
230	231	1165	D	Placebo	21307	F	N	Y	Y	N	3.4	518.0	1.96	115.0	2250.0	203.05	90.0	190.0	10.7	4.0
231	232	1951	C	D-penicillamine	18329	F	N	Y	N	N	0.4	267.0	3.02	47.0	1001.0	133.30	87.0	265.0	10.6	3.0
232	233	1932	C	D-penicillamine	15591	F	N	Y	Y	N	0.9	514.0	3.06	412.0	2622.0	105.40	87.0	284.0	9.8	4.0
233	234	1776	C	Placebo	12557	F	N	N	N	N	0.9	578.0	3.35	78.0	976.0	116.25	177.0	322.0	11.2	2.0
234	235	1882	C	Placebo	12120	F	N	Y	N	N	13.0	1336.0	4.16	71.0	3510.0	209.25	111.0	338.0	11.9	3.0
235	236	1908	C	D-penicillamine	14019	F	N	Y	Y	N	1.5	253.0	3.79	67.0	1006.0	139.50	106.0	341.0	9.7	3.0
236	237	1882	C	D-penicillamine	21828	F	N	Y	N	N	1.6	442.0	2.95	105.0	820.0	85.25	108.0	181.0	10.1	3.0
237	238	1874	C	Placebo	24257	F	N	N	N	S	0.6	280.0	3.35	NaN	1093.0	128.65	81.0	295.0	9.8	2.0
238	239	694	D	D-penicillamine	17090	F	N	Y	Y	N	0.8	300.0	2.94	231.0	1794.0	130.20	99.0	319.0	11.2	4.0
239	240	1831	C	D-penicillamine	20483	F	N	N	N	N	0.4	232.0	3.72	24.0	369.0	51.15	139.0	326.0	10.1	3.0
240	241	837	CL	Placebo	15112	F	N	Y	Y	N	4.4	316.0	3.62	308.0	1119.0	114.70	322.0	282.0	9.8	4.0
241	242	1810	C	D-penicillamine	23585	F	N	Y	N	N	1.9	354.0	2.97	86.0	1553.0	196.85	152.0	277.0	9.9	3.0
242	243	930	D	Placebo	24650	F	N	Y	N	N	8.0	468.0	2.81	139.0	2009.0	198.40	139.0	233.0	10.0	4.0
243	244	1690	D	D-penicillamine	16374	F	N	N	Y	N	3.9	350.0	3.22	121.0	1268.0	272.80	231.0	270.0	9.6	3.0
244	245	1790	C	Placebo	16718	F	N	Y	N	N	0.6	273.0	3.65	48.0	794.0	52.70	214.0	305.0	9.6	3.0
245	246	1435	CL	D-penicillamine	12035	F	N	Y	N	N	2.1	387.0	3.77	63.0	1613.0	150.35	33.0	185.0	10.1	4.0
246	247	732	CL	D-penicillamine	15056	F	N	Y	N	N	6.1	1712.0	2.83	89.0	3681.0	158.10	139.0	297.0	10.0	3.0
247	248	1785	C	Placebo	20241	F	N	Y	N	N	0.8	324.0	3.51	39.0	1237.0	66.65	146.0	371.0	10.0	3.0
248	249	1783	C	D-penicillamine	17525	F	N	N	Y	N	1.3	242.0	3.20	35.0	1556.0	175.15	71.0	195.0	10.6	4.0
249	250	1769	C	Placebo	14899	F	N	Y	N	N	0.6	299.0	3.36	23.0	2769.0	220.10	85.0	303.0	10.9	4.0
250	251	1457	C	D-penicillamine	20810	F	N	N	N	N	0.5	227.0	3.61	40.0	676.0	83.00	120.0	249.0	9.9	2.0
251	252	1770	C	D-penicillamine	25006	F	N	Y	Y	N	1.1	246.0	3.35	116.0	924.0	113.15	90.0	317.0	10.0	4.0
252	253	1765	C	D-penicillamine	28650	M	Y	Y	Y	N	7.1	243.0	3.03	380.0	983.0	158.10	154.0	97.0	11.2	4.0
253	254	737	CL	D-penicillamine	14558	F	N	Y	Y	N	3.1	227.0	3.75	121.0	1136.0	110.00	91.0	264.0	10.0	3.0
254	255	1735	C	Placebo	12897	F	N	Y	Y	N	0.7	193.0	3.85	35.0	466.0	53.00	118.0	156.0	10.3	3.0
255	256	1701	C	D-penicillamine	11485	F	N	N	N	N	1.1	336.0	3.74	48.0	823.0	84.00	108.0	242.0	9.7	3.0
256	257	1614	C	D-penicillamine	21281	F	N	N	N	N	0.5	280.0	4.23	36.0	377.0	56.00	146.0	227.0	10.6	2.0
257	258	1702	C	D-penicillamine	18806	F	N	N	N	N	1.1	414.0	3.44	80.0	1003.0	99.00	55.0	271.0	9.6	1.0
258	259	1615	C	Placebo	21904	F	N	Y	N	N	3.1	277.0	2.97	42.0	1110.0	125.00	126.0	221.0	9.8	3.0
259	260	1656	C	Placebo	27220	M	N	Y	N	N	5.6	232.0	3.59	188.0	1120.0	98.00	128.0	248.0	10.9	4.0
260	261	1677	C	Placebo	19126	F	N	Y	Y	N	3.2	375.0	3.14	129.0	857.0	89.00	NaN	375.0	9.5	3.0
261	262	1666	C	Placebo	15628	F	N	Y	N	N	2.8	322.0	3.06	65.0	2562.0	91.00	209.0	231.0	9.5	3.0
262	263	1301	CL	Placebo	12738	F	N	Y	Y	S	1.1	432.0	3.57	45.0	1406.0	190.00	77.0	248.0	11.4	4.0
263	264	1542	CL	Placebo	16122	F	N	Y	Y	N	3.4	356.0	3.12	188.0	1911.0	92.00	130.0	318.0	11.2	3.0
264	265	1084	CL	Placebo	16941	F	N	Y	N	N	3.5	348.0	3.20	121.0	938.0	120.00	146.0	296.0	10.0	4.0
265	266	1614	C	D-penicillamine	20567	F	N	N	N	N	0.5	318.0	3.32	52.0	613.0	70.00	260.0	279.0	10.2	3.0
266	267	179	D	D-penicillamine	25899	F	Y	Y	Y	Y	6.6	222.0	2.33	138.0	620.0	106.00	91.0	195.0	12.1	4.0
267	268	1191	D	D-penicillamine	20233	F	Y	Y	N	S	6.4	344.0	2.75	16.0	834.0	82.00	179.0	149.0	11.0	4.0
268	269	1363	C	Placebo	16467	F	N	N	N	N	3.6	374.0	3.50	143.0	1428.0	188.00	44.0	151.0	10.1	2.0
269	270	1568	C	D-penicillamine	9598	F	N	Y	Y	N	1.0	448.0	3.74	102.0	1128.0	71.00	117.0	228.0	10.2	3.0
270	271	1569	C	Placebo	18435	F	N	Y	N	N	1.0	321.0	3.50	94.0	955.0	111.00	177.0	289.0	9.7	3.0
271	272	1525	C	D-penicillamine	14025	F	N	N	N	N	0.5	226.0	2.93	22.0	674.0	58.00	85.0	153.0	9.8	1.0
272	273	1558	C	Placebo	17320	F	N	N	Y	N	2.2	328.0	3.46	75.0	1677.0	87.00	116.0	202.0	9.6	3.0
273	274	1447	CL	D-penicillamine	17525	F	N	N	N	N	1.6	NaN	3.07	136.0	1995.0	128.00	NaN	372.0	9.6	4.0
274	275	1349	C	D-penicillamine	13995	F	N	N	N	N	2.2	572.0	3.77	77.0	2520.0	92.00	114.0	309.0	9.5	4.0
275	276	1481	C	D-penicillamine	18302	F	N	N	N	N	1.0	219.0	3.85	67.0	640.0	145.00	108.0	95.0	10.7	2.0
276	277	1434	C	Placebo	12816	F	N	N	N	S	1.0	317.0	3.56	44.0	1636.0	84.00	111.0	394.0	9.8	3.0
277	278	1420	C	Placebo	11872	F	N	N	N	N	5.6	338.0	3.70	130.0	2139.0	185.00	193.0	215.0	9.9	4.0
278	279	1433	C	Placebo	20510	F	N	N	N	N	0.5	198.0	3.77	38.0	911.0	57.00	56.0	280.0	9.8	2.0
279	280	1412	C	D-penicillamine	16858	F	N	N	N	N	1.6	325.0	3.69	69.0	2583.0	142.00	140.0	284.0	9.6	3.0
280	281	41	D	D-penicillamine	24064	F	Y	N	N	Y	17.9	175.0	2.10	220.0	705.0	338.00	229.0	62.0	12.9	4.0
281	282	1455	C	Placebo	12398	F	N	Y	N	N	1.3	304.0	3.52	97.0	1622.0	71.00	169.0	255.0	9.5	4.0
282	283	1030	C	Placebo	22960	F	N	N	N	N	1.1	412.0	3.99	103.0	1293.0	91.00	113.0	422.0	9.6	4.0
283	284	1418	C	Placebo	17738	F	N	N	N	N	1.3	291.0	3.44	75.0	1082.0	85.00	195.0	251.0	9.5	3.0
284	285	1401	C	D-penicillamine	16929	F	N	N	N	N	0.8	253.0	3.48	65.0	688.0	57.00	80.0	252.0	10.0	1.0
285	286	1408	C	D-penicillamine	14191	F	N	Y	Y	N	2.0	310.0	3.36	70.0	1257.0	122.00	118.0	143.0	9.8	3.0
286	287	1234	C	D-penicillamine	21421	F	N	N	Y	N	6.4	373.0	3.46	155.0	1768.0	120.00	151.0	258.0	10.1	4.0
287	288	1067	CL	Placebo	17874	F	N	Y	N	S	8.7	310.0	3.89	107.0	637.0	117.00	242.0	298.0	9.6	2.0
288	289	799	D	D-penicillamine	24681	M	N	Y	N	S	4.0	416.0	3.99	177.0	960.0	86.00	242.0	269.0	9.8	2.0
289	290	1363	C	D-penicillamine	24101	F	N	N	N	N	1.4	294.0	3.57	33.0	722.0	93.00	69.0	283.0	9.8	3.0
290	291	901	CL	D-penicillamine	14939	F	N	N	N	N	3.2	339.0	3.18	123.0	3336.0	205.00	84.0	304.0	9.9	4.0
291	292	1329	C	Placebo	18352	M	N	Y	N	N	8.6	546.0	3.73	84.0	1070.0	127.00	153.0	291.0	11.2	3.0
292	293	1320	C	Placebo	20891	F	N	Y	Y	Y	8.5	194.0	2.98	196.0	815.0	163.00	78.0	122.0	12.3	4.0
293	294	1302	C	D-penicillamine	22111	M	N	Y	N	N	6.6	1000.0	3.07	88.0	3150.0	193.00	133.0	299.0	10.9	4.0
294	295	877	CL	D-penicillamine	12912	M	N	N	N	N	2.4	646.0	3.83	102.0	855.0	127.00	194.0	306.0	10.3	3.0
295	296	1321	C	Placebo	11462	F	N	N	N	N	0.8	328.0	3.31	62.0	1105.0	137.00	95.0	293.0	10.9	4.0
296	297	533	CL	D-penicillamine	20449	M	N	Y	N	N	1.2	275.0	3.43	100.0	1142.0	75.00	91.0	217.0	11.3	4.0
297	298	1300	C	Placebo	19258	F	N	Y	N	N	1.1	340.0	3.37	73.0	289.0	97.00	93.0	243.0	10.2	3.0
298	299	1293	C	D-penicillamine	13913	F	N	N	N	N	2.4	342.0	3.76	90.0	1653.0	150.00	127.0	213.0	10.8	3.0
299	300	207	D	Placebo	21247	F	N	Y	N	N	5.2	NaN	2.23	234.0	601.0	135.00	NaN	206.0	12.3	4.0
300	301	1295	C	Placebo	16513	F	N	N	N	N	1.0	393.0	3.57	50.0	1307.0	74.00	103.0	295.0	10.5	4.0
301	302	1271	C	D-penicillamine	13806	F	N	N	N	N	0.7	335.0	3.95	43.0	657.0	52.00	104.0	268.0	10.6	2.0
302	303	1250	C	Placebo	22156	F	N	Y	Y	N	1.0	372.0	3.25	108.0	1190.0	140.00	55.0	248.0	10.6	4.0
303	304	1230	C	D-penicillamine	12979	F	N	N	N	N	0.5	219.0	3.93	22.0	663.0	45.00	75.0	246.0	10.8	3.0
304	305	1216	C	Placebo	15730	F	N	Y	Y	N	2.9	426.0	3.61	73.0	5184.0	288.00	144.0	275.0	10.6	3.0
305	306	1216	C	Placebo	20597	F	N	Y	N	N	0.6	239.0	3.45	31.0	1072.0	55.00	64.0	227.0	10.7	2.0
306	307	1149	C	Placebo	11167	F	N	N	N	N	0.8	273.0	3.56	52.0	1282.0	130.00	59.0	344.0	10.5	2.0
307	308	1153	C	D-penicillamine	22347	F	N	Y	N	N	0.4	246.0	3.58	24.0	797.0	91.00	113.0	288.0	10.4	2.0
308	309	994	C	Placebo	21294	F	N	N	N	N	0.4	260.0	2.75	41.0	1166.0	70.00	82.0	231.0	10.8	2.0
309	310	939	C	D-penicillamine	22767	F	N	N	N	N	1.7	434.0	3.35	39.0	1713.0	171.00	100.0	234.0	10.2	2.0
310	311	839	C	D-penicillamine	13879	F	N	N	N	N	2.0	247.0	3.16	69.0	1050.0	117.00	88.0	335.0	10.5	2.0
311	312	788	C	Placebo	12109	F	N	N	Y	N	6.4	576.0	3.79	186.0	2115.0	136.00	149.0	200.0	10.8	2.0
312	313	4062	C	NaN	21915	F	NaN	NaN	NaN	N	0.7	NaN	3.65	NaN	NaN	NaN	NaN	378.0	11.0	NaN
313	314	3561	D	NaN	23741	F	NaN	NaN	NaN	S	1.4	NaN	3.04	NaN	NaN	NaN	NaN	331.0	12.1	4.0
314	315	2844	C	NaN	19724	F	NaN	NaN	NaN	N	0.7	NaN	4.03	NaN	NaN	NaN	NaN	226.0	9.8	4.0
315	316	2071	D	NaN	27394	F	NaN	NaN	NaN	S	0.7	NaN	3.96	NaN	NaN	NaN	NaN	NaN	11.3	4.0
316	317	3030	C	NaN	22646	F	NaN	NaN	NaN	N	0.8	NaN	2.48	NaN	NaN	NaN	NaN	273.0	10.0	NaN
317	318	1680	C	NaN	15706	F	NaN	NaN	NaN	N	0.7	NaN	3.68	NaN	NaN	NaN	NaN	306.0	9.5	2.0
318	319	41	D	NaN	16802	F	NaN	NaN	NaN	N	5.0	NaN	2.93	NaN	NaN	NaN	NaN	260.0	10.4	NaN
319	320	2403	C	NaN	16071	F	NaN	NaN	NaN	S	0.4	NaN	3.81	NaN	NaN	NaN	NaN	226.0	10.5	3.0
320	321	1170	C	NaN	22280	M	NaN	NaN	NaN	S	1.3	NaN	3.41	NaN	NaN	NaN	NaN	259.0	10.9	4.0
321	322	2011	D	NaN	23376	F	NaN	NaN	NaN	N	1.1	NaN	3.69	NaN	NaN	NaN	NaN	139.0	10.5	NaN
322	323	3523	C	NaN	14610	F	NaN	NaN	NaN	N	0.6	NaN	4.04	NaN	NaN	NaN	NaN	130.0	11.2	2.0
323	324	3468	C	NaN	23011	F	NaN	NaN	NaN	N	0.6	NaN	3.94	NaN	NaN	NaN	NaN	234.0	11.5	2.0
324	325	4795	C	NaN	12419	F	NaN	NaN	NaN	N	1.8	NaN	3.24	NaN	NaN	NaN	NaN	NaN	18.0	2.0
325	326	1236	C	NaN	18993	F	NaN	NaN	NaN	N	1.5	NaN	3.42	NaN	NaN	NaN	NaN	246.0	10.3	3.0
326	327	4214	C	NaN	17897	F	NaN	NaN	NaN	N	1.2	NaN	3.99	NaN	NaN	NaN	NaN	NaN	11.2	2.0
327	328	2111	D	NaN	19724	F	NaN	NaN	NaN	N	1.0	NaN	3.60	NaN	NaN	NaN	NaN	NaN	12.1	2.0
328	329	1462	D	NaN	23011	F	NaN	NaN	NaN	N	0.7	NaN	3.40	NaN	NaN	NaN	NaN	371.0	10.1	4.0
329	330	1746	D	NaN	19724	M	NaN	NaN	NaN	N	3.5	NaN	3.63	NaN	NaN	NaN	NaN	325.0	10.3	2.0
330	331	94	D	NaN	16802	F	NaN	NaN	NaN	S	3.1	NaN	3.56	NaN	NaN	NaN	NaN	142.0	13.6	4.0
331	332	785	D	NaN	19358	F	NaN	NaN	NaN	N	12.6	NaN	2.87	NaN	NaN	NaN	NaN	114.0	11.8	4.0
332	333	1518	D	NaN	20454	F	NaN	NaN	NaN	N	2.8	NaN	3.92	NaN	NaN	NaN	NaN	NaN	10.6	4.0
333	334	466	D	NaN	20454	F	NaN	NaN	NaN	N	7.1	NaN	3.51	NaN	NaN	NaN	NaN	721.0	11.8	NaN
334	335	3527	C	NaN	20089	F	NaN	NaN	NaN	N	0.6	NaN	4.15	NaN	NaN	NaN	NaN	280.0	10.1	2.0
335	336	2635	C	NaN	23741	F	NaN	NaN	NaN	N	2.1	NaN	3.34	NaN	NaN	NaN	NaN	155.0	10.1	4.0
336	337	2286	D	NaN	20454	F	NaN	NaN	NaN	N	1.8	NaN	3.64	NaN	NaN	NaN	NaN	141.0	10.0	NaN
337	338	791	D	NaN	17167	F	NaN	NaN	NaN	N	16.0	NaN	3.42	NaN	NaN	NaN	NaN	475.0	13.8	2.0
338	339	3492	C	NaN	21915	F	NaN	NaN	NaN	N	0.6	NaN	4.38	NaN	NaN	NaN	NaN	269.0	10.6	2.0
339	340	3495	C	NaN	19358	F	NaN	NaN	NaN	N	5.4	NaN	4.19	NaN	NaN	NaN	NaN	141.0	11.2	2.0
340	341	111	D	NaN	19724	F	NaN	NaN	NaN	N	9.0	NaN	3.29	NaN	NaN	NaN	NaN	286.0	13.1	4.0
341	342	3231	C	NaN	18263	F	NaN	NaN	NaN	N	0.9	NaN	4.01	NaN	NaN	NaN	NaN	244.0	10.5	3.0
342	343	625	D	NaN	17532	F	NaN	NaN	NaN	N	11.1	NaN	2.84	NaN	NaN	NaN	NaN	NaN	12.2	2.0
343	344	3157	C	NaN	13149	F	NaN	NaN	NaN	N	8.9	NaN	3.76	NaN	NaN	NaN	NaN	209.0	10.6	3.0
344	345	3021	CL	NaN	17532	F	NaN	NaN	NaN	N	0.5	NaN	3.76	NaN	NaN	NaN	NaN	388.0	10.1	2.0
345	346	559	D	NaN	25568	F	NaN	NaN	NaN	S	0.6	NaN	3.81	NaN	NaN	NaN	NaN	160.0	11.0	4.0
346	347	2812	D	NaN	18628	F	NaN	NaN	NaN	N	3.4	NaN	3.92	NaN	NaN	NaN	NaN	NaN	9.3	2.0
347	348	2834	C	NaN	18993	M	NaN	NaN	NaN	N	0.9	NaN	3.14	NaN	NaN	NaN	NaN	191.0	12.3	2.0
348	349	2855	C	NaN	19724	F	NaN	NaN	NaN	N	1.4	NaN	3.82	NaN	NaN	NaN	NaN	249.0	10.3	2.0
349	350	662	D	NaN	17532	F	NaN	NaN	NaN	N	2.1	NaN	4.10	NaN	NaN	NaN	NaN	200.0	9.0	3.0
350	351	727	D	NaN	24107	F	NaN	NaN	NaN	N	15.0	NaN	3.40	NaN	NaN	NaN	NaN	150.0	11.1	4.0
351	352	2716	C	NaN	19358	F	NaN	NaN	NaN	N	0.6	NaN	4.19	NaN	NaN	NaN	NaN	330.0	9.9	1.0
352	353	2698	C	NaN	22646	F	NaN	NaN	NaN	N	1.3	NaN	3.40	NaN	NaN	NaN	NaN	167.0	10.6	4.0
353	354	990	D	NaN	21550	F	NaN	NaN	NaN	N	1.3	NaN	3.12	NaN	NaN	NaN	NaN	125.0	9.6	2.0
354	355	2338	C	NaN	14245	F	NaN	NaN	NaN	N	1.6	NaN	3.75	NaN	NaN	NaN	NaN	145.0	10.4	3.0
355	356	1616	D	NaN	24472	F	NaN	NaN	NaN	S	2.2	NaN	3.26	NaN	NaN	NaN	NaN	171.0	11.1	4.0
356	357	2563	C	NaN	21185	F	NaN	NaN	NaN	N	3.0	NaN	3.46	NaN	NaN	NaN	NaN	109.0	10.4	4.0
357	358	2537	C	NaN	23376	F	NaN	NaN	NaN	N	0.8	NaN	3.49	NaN	NaN	NaN	NaN	314.0	10.3	3.0
358	359	2534	C	NaN	16802	F	NaN	NaN	NaN	N	0.8	NaN	2.89	NaN	NaN	NaN	NaN	419.0	NaN	1.0
359	360	778	D	NaN	23376	F	NaN	NaN	NaN	N	1.8	NaN	3.15	NaN	NaN	NaN	NaN	183.0	10.4	4.0
360	361	617	CL	NaN	14975	F	NaN	NaN	NaN	N	5.5	NaN	2.31	NaN	NaN	NaN	NaN	517.0	10.4	4.0
361	362	2267	CL	NaN	17897	F	NaN	NaN	NaN	N	18.0	NaN	3.04	NaN	NaN	NaN	NaN	432.0	9.7	2.0
362	363	2249	C	NaN	16071	F	NaN	NaN	NaN	N	0.6	NaN	3.50	NaN	NaN	NaN	NaN	150.0	9.9	3.0
363	364	359	D	NaN	21550	F	NaN	NaN	NaN	N	2.7	NaN	3.35	NaN	NaN	NaN	NaN	142.0	11.5	4.0
364	365	1925	C	NaN	23011	F	NaN	NaN	NaN	N	0.9	NaN	3.58	NaN	NaN	NaN	NaN	224.0	10.0	3.0
365	366	249	D	NaN	22280	F	NaN	NaN	NaN	N	1.3	NaN	3.01	NaN	NaN	NaN	NaN	223.0	10.7	3.0
366	367	2202	C	NaN	23376	F	NaN	NaN	NaN	N	1.1	NaN	3.49	NaN	NaN	NaN	NaN	166.0	9.8	3.0
367	368	43	D	NaN	17897	F	NaN	NaN	NaN	N	13.8	NaN	2.77	NaN	NaN	NaN	NaN	388.0	NaN	4.0
368	369	1197	D	NaN	15341	F	NaN	NaN	NaN	N	4.4	NaN	4.52	NaN	NaN	NaN	NaN	102.0	10.8	4.0
369	370	1095	D	NaN	18263	F	NaN	NaN	NaN	N	16.0	NaN	3.36	NaN	NaN	NaN	NaN	384.0	10.0	3.0
370	371	489	D	NaN	18628	F	NaN	NaN	NaN	S	7.3	NaN	3.52	NaN	NaN	NaN	NaN	265.0	11.1	1.0
371	372	2149	C	NaN	13514	F	NaN	NaN	NaN	N	0.6	NaN	3.55	NaN	NaN	NaN	NaN	248.0	10.3	2.0
372	373	2103	C	NaN	22646	F	NaN	NaN	NaN	N	0.7	NaN	3.29	NaN	NaN	NaN	NaN	190.0	9.8	2.0
373	374	1980	C	NaN	18628	F	NaN	NaN	NaN	N	0.7	NaN	3.10	NaN	NaN	NaN	NaN	274.0	10.6	3.0
374	375	1347	CL	NaN	18993	F	NaN	NaN	NaN	N	1.7	NaN	3.24	NaN	NaN	NaN	NaN	231.0	10.5	3.0
375	376	1478	D	NaN	16071	M	NaN	NaN	NaN	N	9.5	NaN	3.63	NaN	NaN	NaN	NaN	292.0	10.2	3.0
376	377	1987	C	NaN	12053	F	NaN	NaN	NaN	N	2.2	NaN	3.76	NaN	NaN	NaN	NaN	253.0	9.9	3.0
377	378	1168	D	NaN	21915	F	NaN	NaN	NaN	S	1.8	NaN	3.62	NaN	NaN	NaN	NaN	225.0	9.9	2.0
378	379	597	D	NaN	23011	F	NaN	NaN	NaN	S	3.3	NaN	2.73	NaN	NaN	NaN	NaN	224.0	11.1	4.0
379	380	1725	CL	NaN	12053	F	NaN	NaN	NaN	N	2.9	NaN	4.08	NaN	NaN	NaN	NaN	418.0	10.5	3.0
380	381	1899	C	NaN	14975	M	NaN	NaN	NaN	N	1.7	NaN	3.66	NaN	NaN	NaN	NaN	92.0	11.0	4.0
381	382	221	D	NaN	18628	F	NaN	NaN	NaN	N	14.0	NaN	2.58	NaN	NaN	NaN	NaN	190.0	11.6	4.0
382	383	1022	CL	NaN	13514	F	NaN	NaN	NaN	S	0.8	NaN	3.00	NaN	NaN	NaN	NaN	76.0	10.8	4.0
383	384	1639	C	NaN	21550	F	NaN	NaN	NaN	N	1.3	NaN	3.40	NaN	NaN	NaN	NaN	243.0	9.7	1.0
384	385	1635	C	NaN	20089	F	NaN	NaN	NaN	N	0.7	NaN	2.93	NaN	NaN	NaN	NaN	209.0	10.6	3.0
385	386	1654	C	NaN	19724	M	NaN	NaN	NaN	N	1.7	NaN	2.38	NaN	NaN	NaN	NaN	166.0	9.8	3.0
386	387	1653	C	NaN	17897	F	NaN	NaN	NaN	S	13.6	NaN	3.00	NaN	NaN	NaN	NaN	233.0	9.9	3.0
387	388	1560	C	NaN	14610	F	NaN	NaN	NaN	N	0.9	NaN	3.50	NaN	NaN	NaN	NaN	117.0	10.9	4.0
388	389	1581	C	NaN	24472	F	NaN	NaN	NaN	N	0.7	NaN	3.06	NaN	NaN	NaN	NaN	165.0	10.0	4.0
389	390	1419	C	NaN	24837	M	NaN	NaN	NaN	N	3.0	NaN	3.15	NaN	NaN	NaN	NaN	139.0	10.0	3.0
390	391	1443	C	NaN	14975	F	NaN	NaN	NaN	N	1.2	NaN	2.80	NaN	NaN	NaN	NaN	120.0	11.0	2.0
391	392	1368	C	NaN	25202	F	NaN	NaN	NaN	N	0.4	NaN	3.03	NaN	NaN	NaN	NaN	173.0	10.9	3.0
392	393	193	D	NaN	18993	F	NaN	NaN	NaN	S	0.7	NaN	2.96	NaN	NaN	NaN	NaN	319.0	9.9	4.0
393	394	1367	C	NaN	20819	F	NaN	NaN	NaN	S	2.0	NaN	3.07	NaN	NaN	NaN	NaN	80.0	12.1	4.0
394	395	1329	C	NaN	13149	F	NaN	NaN	NaN	N	1.4	NaN	3.98	NaN	NaN	NaN	NaN	402.0	11.0	1.0
395	396	1343	C	NaN	18263	F	NaN	NaN	NaN	N	1.6	NaN	3.48	NaN	NaN	NaN	NaN	277.0	10.2	2.0
396	397	1328	C	NaN	23376	F	NaN	NaN	NaN	N	0.5	NaN	3.65	NaN	NaN	NaN	NaN	425.0	10.2	4.0
397	398	1375	C	NaN	22646	F	NaN	NaN	NaN	N	7.3	NaN	3.49	NaN	NaN	NaN	NaN	189.0	10.9	4.0
398	399	1260	C	NaN	15341	F	NaN	NaN	NaN	N	8.1	NaN	2.82	NaN	NaN	NaN	NaN	193.0	10.4	2.0
399	400	1223	C	NaN	16071	F	NaN	NaN	NaN	N	0.5	NaN	3.34	NaN	NaN	NaN	NaN	258.0	10.6	2.0
400	401	935	D	NaN	25202	F	NaN	NaN	NaN	N	4.2	NaN	3.19	NaN	NaN	NaN	NaN	120.0	11.1	4.0
401	402	943	C	NaN	18993	F	NaN	NaN	NaN	N	0.8	NaN	3.01	NaN	NaN	NaN	NaN	256.0	10.6	3.0
402	403	1141	C	NaN	24107	F	NaN	NaN	NaN	N	2.5	NaN	3.33	NaN	NaN	NaN	NaN	256.0	10.8	4.0
403	404	1092	C	NaN	14610	F	NaN	NaN	NaN	N	4.6	NaN	3.60	NaN	NaN	NaN	NaN	337.0	10.4	3.0
404	405	1150	C	NaN	18993	F	NaN	NaN	NaN	N	1.0	NaN	3.64	NaN	NaN	NaN	NaN	340.0	10.6	3.0
405	406	703	D	NaN	16802	F	NaN	NaN	NaN	N	4.5	NaN	2.68	NaN	NaN	NaN	NaN	219.0	11.5	4.0
406	407	1129	C	NaN	19724	M	NaN	NaN	NaN	N	1.1	NaN	3.69	NaN	NaN	NaN	NaN	220.0	10.8	3.0
407	408	1086	C	NaN	18628	F	NaN	NaN	NaN	S	1.9	NaN	3.17	NaN	NaN	NaN	NaN	162.0	10.7	3.0
408	409	1067	C	NaN	15706	F	NaN	NaN	NaN	N	0.7	NaN	3.73	NaN	NaN	NaN	NaN	214.0	10.8	3.0
409	410	1072	C	NaN	14245	F	NaN	NaN	NaN	N	1.5	NaN	3.81	NaN	NaN	NaN	NaN	255.0	10.8	3.0
410	411	1119	C	NaN	18628	F	NaN	NaN	NaN	N	0.6	NaN	3.57	NaN	NaN	NaN	NaN	286.0	10.6	3.0
411	412	1097	C	NaN	24472	F	NaN	NaN	NaN	N	1.0	NaN	3.58	NaN	NaN	NaN	NaN	244.0	10.8	3.0
412	413	989	C	NaN	12784	F	NaN	NaN	NaN	N	0.7	NaN	3.23	NaN	NaN	NaN	NaN	312.0	10.8	3.0
413	414	681	D	NaN	24472	F	NaN	NaN	NaN	N	1.2	NaN	2.96	NaN	NaN	NaN	NaN	174.0	10.9	3.0
414	415	1103	C	NaN	14245	F	NaN	NaN	NaN	N	0.9	NaN	3.83	NaN	NaN	NaN	NaN	180.0	11.2	4.0
415	416	1055	C	NaN	20819	F	NaN	NaN	NaN	N	1.6	NaN	3.42	NaN	NaN	NaN	NaN	143.0	9.9	3.0
416	417	691	C	NaN	21185	F	NaN	NaN	NaN	N	0.8	NaN	3.75	NaN	NaN	NaN	NaN	269.0	10.4	3.0
417	418	976	C	NaN	19358	F	NaN	NaN	NaN	N	0.7	NaN	3.29	NaN	NaN	NaN	NaN	350.0	10.6	4.0

Profiling Data

Menampilkan Statistik Variabel Numerik

data = data.drop(columns=["ID"])


numerical_data = data.select_dtypes(include='number')

stats = pd.DataFrame({
    'mean': numerical_data.mean(),
    'median': numerical_data.median(),
    'count': numerical_data.count(),
    'std': numerical_data.std(),
    'min': numerical_data.min(),
    'max': numerical_data.max()
})

html_table = stats.to_html(classes='table table-bordered', border=0)
display(HTML(f"""
<div style="max-height: 400px; overflow-y: auto; border:1px solid #ccc; padding:10px">
{html_table}
</div>
"""))

	mean	median	count	std	min	max
N_Days	1917.782297	1730.00	418	1104.672992	41.00	4795.00
Age	18533.351675	18628.00	418	3815.845055	9598.00	28650.00
Bilirubin	3.220813	1.40	418	4.407506	0.30	28.00
Cholesterol	369.510563	309.50	284	231.944545	120.00	1775.00
Albumin	3.497440	3.53	418	0.424972	1.96	4.64
Copper	97.648387	73.00	310	85.613920	4.00	588.00
Alk_Phos	1982.655769	1259.00	312	2140.388824	289.00	13862.40
SGOT	122.556346	114.70	312	56.699525	26.35	457.25
Tryglicerides	124.702128	108.00	282	65.148639	33.00	598.00
Platelets	257.024570	251.00	407	98.325585	62.00	721.00
Prothrombin	10.731731	10.60	416	1.022000	9.00	18.00
Stage	3.024272	3.00	412	0.882042	1.00	4.00

Menampilkan Statistik Variabel Kategorikal

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# 2. Menentukan kolom kategorikal (bisa otomatis atau ditentukan manual)
categorical_cols = data.select_dtypes(include=['object', 'category']).columns

# 3. Menampilkan statistik dan visualisasi untuk tiap kolom kategorikal
for col in categorical_cols:
    print(f"\nStatistik untuk variabel kategorikal: {col}")
    print(data[col].value_counts())

    plt.figure(figsize=(6,4))
    sns.countplot(data=data, x=col, order=data[col].value_counts().index)
    plt.title(f"Distribusi {col}")
    plt.xticks(rotation=45)
    plt.tight_layout()
    plt.show()

Statistik untuk variabel kategorikal: Status
Status
C     232
D     161
CL     25
Name: count, dtype: int64

Statistik untuk variabel kategorikal: Drug
Drug
D-penicillamine    158
Placebo            154
Name: count, dtype: int64

Statistik untuk variabel kategorikal: Sex
Sex
F    374
M     44
Name: count, dtype: int64

Statistik untuk variabel kategorikal: Ascites
Ascites
N    288
Y     24
Name: count, dtype: int64

Statistik untuk variabel kategorikal: Hepatomegaly
Hepatomegaly
Y    160
N    152
Name: count, dtype: int64

Statistik untuk variabel kategorikal: Spiders
Spiders
N    222
Y     90
Name: count, dtype: int64

Statistik untuk variabel kategorikal: Edema
Edema
N    354
S     44
Y     20
Name: count, dtype: int64

Korelasi dan Asosiasi

Memahami Hubungan anatar variabel

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from IPython.display import display, HTML


numerical_data = data.select_dtypes(include='number').dropna()

pearson_corr = numerical_data.corr(method='pearson')
spearman_corr = numerical_data.corr(method='spearman')

def show_correlation_html(corr_matrix, title):
    html = corr_matrix.to_html(classes='table table-bordered', border=0)
    display(HTML(f"<h3>{title}</h3><div style='max-height: 400px; overflow-y: auto; border:1px solid #ccc; padding:10px'>{html}</div>"))

show_correlation_html(pearson_corr, "Korelasi Pearson")
show_correlation_html(spearman_corr, "Korelasi Spearman")

plt.figure(figsize=(12, 6))
sns.heatmap(pearson_corr, annot=True, cmap='coolwarm', fmt=".2f")
plt.title("Heatmap Korelasi Pearson")
plt.show()

Korelasi Pearson

	N_Days	Age	Bilirubin	Cholesterol	Albumin	Copper	Alk_Phos	SGOT	Tryglicerides	Platelets	Prothrombin	Stage
N_Days	1.000000	-0.143223	-0.430252	-0.136734	0.401878	-0.361386	0.104443	-0.191062	-0.163853	0.159121	-0.128406	-0.363880
Age	-0.143223	1.000000	0.078177	-0.156638	-0.239676	0.082631	-0.019798	-0.120868	0.024710	-0.149650	0.244774	0.178980
Bilirubin	-0.430252	0.078177	1.000000	0.394966	-0.312043	0.460527	0.138787	0.424987	0.439691	-0.074395	0.331176	0.247861
Cholesterol	-0.136734	-0.156638	0.394966	1.000000	-0.067299	0.124413	0.152281	0.356971	0.273896	0.192548	-0.033374	0.004573
Albumin	0.401878	-0.239676	-0.312043	-0.067299	1.000000	-0.240408	-0.111497	-0.198210	-0.109673	0.198600	-0.199584	-0.310473
Copper	-0.361386	0.082631	0.460527	0.124413	-0.240408	1.000000	0.190912	0.301858	0.284579	-0.083976	0.213770	0.280346
Alk_Phos	0.104443	-0.019798	0.138787	0.152281	-0.111497	0.190912	1.000000	0.145242	0.182566	0.147250	0.087784	0.016821
SGOT	-0.191062	-0.120868	0.424987	0.356971	-0.198210	0.301858	0.145242	1.000000	0.134957	-0.058951	0.069940	0.142341
Tryglicerides	-0.163853	0.024710	0.439691	0.273896	-0.109673	0.284579	0.182566	0.134957	1.000000	0.101285	0.025087	0.126033
Platelets	0.159121	-0.149650	-0.074395	0.192548	0.198600	-0.083976	0.147250	-0.058951	0.101285	1.000000	-0.192859	-0.221546
Prothrombin	-0.128406	0.244774	0.331176	-0.033374	-0.199584	0.213770	0.087784	0.069940	0.025087	-0.192859	1.000000	0.233990
Stage	-0.363880	0.178980	0.247861	0.004573	-0.310473	0.280346	0.016821	0.142341	0.126033	-0.221546	0.233990	1.000000

Korelasi Spearman

	N_Days	Age	Bilirubin	Cholesterol	Albumin	Copper	Alk_Phos	SGOT	Tryglicerides	Platelets	Prothrombin	Stage
N_Days	1.000000	-0.143167	-0.498188	-0.086799	0.391038	-0.435934	-0.062621	-0.250369	-0.191581	0.162161	-0.136587	-0.371631
Age	-0.143167	1.000000	0.043054	-0.175859	-0.192793	0.026725	-0.102127	-0.154126	0.029932	-0.153490	0.196571	0.188752
Bilirubin	-0.498188	0.043054	1.000000	0.398157	-0.328866	0.637708	0.357369	0.572332	0.366501	-0.187762	0.269331	0.383038
Cholesterol	-0.086799	-0.175859	0.398157	1.000000	-0.021138	0.224916	0.445160	0.379767	0.375103	0.268129	-0.149641	-0.025713
Albumin	0.391038	-0.192793	-0.328866	-0.021138	1.000000	-0.263041	-0.192000	-0.202943	-0.086720	0.186906	-0.178819	-0.311786
Copper	-0.435934	0.026725	0.637708	0.224916	-0.263041	1.000000	0.281533	0.415695	0.331606	-0.103598	0.215475	0.307054
Alk_Phos	-0.062621	-0.102127	0.357369	0.445160	-0.192000	0.281533	1.000000	0.427559	0.240557	0.195184	0.086866	0.121719
SGOT	-0.250369	-0.154126	0.572332	0.379767	-0.202943	0.415695	0.427559	1.000000	0.150182	-0.021768	0.117796	0.172092
Tryglicerides	-0.191581	0.029932	0.366501	0.375103	-0.086720	0.331606	0.240557	0.150182	1.000000	0.071255	-0.085456	0.105503
Platelets	0.162161	-0.153490	-0.187762	0.268129	0.186906	-0.103598	0.195184	-0.021768	0.071255	1.000000	-0.227986	-0.236371
Prothrombin	-0.136587	0.196571	0.269331	-0.149641	-0.178819	0.215475	0.086866	0.117796	-0.085456	-0.227986	1.000000	0.314429
Stage	-0.371631	0.188752	0.383038	-0.025713	-0.311786	0.307054	0.121719	0.172092	0.105503	-0.236371	0.314429	1.000000

import pandas as pd
import matplotlib.pyplot as plt

# Load data dan buang kolom ID
data = pd.read_csv("cirrhosis.csv")
data = data.drop(columns=["ID"])
numerical_data = data.select_dtypes(include='number')

# Histogram semua fitur numerik
numerical_data.hist(figsize=(15, 12), bins=20, edgecolor='black')
plt.suptitle("Histogram Fitur Numerik", fontsize=16)
plt.tight_layout()
plt.show()

import seaborn as sns

plt.figure(figsize=(8, 6))
sns.scatterplot(data=data, x='Bilirubin', y='Albumin', hue='Stage')
plt.title("Scatter Plot: Bilirubin vs Albumin (warna berdasarkan Stage)")
plt.xlabel("Bilirubin")
plt.ylabel("Albumin")
plt.show()

plt.figure(figsize=(8, 6))
sns.boxplot(x='Status', y='Bilirubin', data=data)
plt.title("Boxplot: Bilirubin Berdasarkan Status Hidup")
plt.xlabel("Status")
plt.ylabel("Bilirubin")
plt.show()

status_counts = data['Status'].value_counts()
labels = status_counts.index
sizes = status_counts.values

plt.figure(figsize=(6, 6))
plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=90)
plt.title("Distribusi Status Hidup")
plt.axis('equal')  # Pie chart menjadi lingkaran
plt.show()

Identifikasi Masalah

Cek Misiing Value

print("Missing Values:")
print(data.isnull().sum())

Missing Values:
N_Days             0
Status             0
Drug             106
Age                0
Sex                0
Ascites          106
Hepatomegaly     106
Spiders          106
Edema              0
Bilirubin          0
Cholesterol      134
Albumin            0
Copper           108
Alk_Phos         106
SGOT             106
Tryglicerides    136
Platelets         11
Prothrombin        2
Stage              6
dtype: int64

Cek Duplikasi

print("\nJumlah Duplikasi:")
print(data.duplicated().sum())

Jumlah Duplikasi:
0

Cek Inkonsitensi

object_cols = data.select_dtypes(include=['object']).columns
for col in object_cols:
    print(f"\nNilai unik di kolom '{col}':")
    print(data[col].unique())

Nilai unik di kolom 'Status':
['D' 'C' 'CL']

Nilai unik di kolom 'Drug':
['D-penicillamine' 'Placebo' nan]

Nilai unik di kolom 'Sex':
['F' 'M']

Nilai unik di kolom 'Ascites':
['Y' 'N' nan]

Nilai unik di kolom 'Hepatomegaly':
['Y' 'N' nan]

Nilai unik di kolom 'Spiders':
['Y' 'N' nan]

Nilai unik di kolom 'Edema':
['Y' 'N' 'S']

Deteksi Outlier

def indeks_outlier_iqr(series):
    Q1 = series.quantile(0.25)
    Q3 = series.quantile(0.75)
    IQR = Q3 - Q1
    lower_bound = Q1 - 1.5 * IQR
    upper_bound = Q3 + 1.5 * IQR
    return series[(series < lower_bound) | (series > upper_bound)].index

outlier_indices_per_feature = {}

for col in numeric_cols:
    outlier_idx = indeks_outlier_iqr(data[col].dropna())
    outlier_indices_per_feature[col] = outlier_idx.tolist()

for fitur, indices in outlier_indices_per_feature.items():
    print(f"\nFitur: {fitur}")
    print(f"Jumlah outlier: {len(indices)}")
    print(f"ID: {indices}")

Fitur: N_Days
Jumlah outlier: 0
ID: []

Fitur: Age
Jumlah outlier: 0
ID: []

Fitur: Bilirubin
Jumlah outlier: 46
ID: [0, 9, 17, 22, 26, 27, 62, 68, 73, 74, 75, 80, 94, 127, 129, 137, 143, 155, 163, 183, 186, 190, 192, 216, 222, 234, 242, 280, 287, 291, 292, 331, 337, 340, 342, 343, 350, 361, 367, 369, 370, 375, 381, 386, 397, 398]

Fitur: Cholesterol
Jumlah outlier: 20
ID: [25, 62, 68, 74, 85, 89, 116, 118, 129, 147, 165, 183, 186, 190, 192, 214, 234, 246, 293, 294]

Fitur: Albumin
Jumlah outlier: 9
ID: [13, 69, 222, 230, 266, 280, 299, 360, 385]

Fitur: Copper
Jumlah outlier: 17
ID: [17, 21, 22, 47, 53, 73, 79, 119, 137, 147, 148, 183, 186, 192, 232, 240, 252]

Fitur: Alk_Phos
Jumlah outlier: 35
ID: [1, 3, 7, 14, 22, 23, 26, 28, 29, 30, 31, 34, 36, 38, 39, 41, 42, 45, 47, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 143, 147, 190, 205, 246, 304]

Fitur: SGOT
Jumlah outlier: 7
ID: [17, 66, 127, 165, 243, 280, 304]

Fitur: Tryglicerides
Jumlah outlier: 10
ID: [55, 73, 74, 80, 81, 115, 147, 190, 240, 265]

Fitur: Platelets
Jumlah outlier: 6
ID: [38, 45, 181, 201, 333, 360]

Fitur: Prothrombin
Jumlah outlier: 18
ID: [11, 19, 27, 60, 61, 82, 106, 120, 122, 130, 153, 163, 190, 280, 324, 330, 337, 340]

Fitur: Stage
Jumlah outlier: 0
ID: []

Preprocessing

Data Outlier dan Tidak

from IPython.display import display, HTML

# Salin data
data_outlier = data.copy()
data_outlier['id'] = data_outlier.index + 1

# Loop per fitur numerik
for col in numeric_cols:
    # Hitung batas IQR
    Q1 = data_outlier[col].quantile(0.25)
    Q3 = data_outlier[col].quantile(0.75)
    IQR = Q3 - Q1
    lower = Q1 - 1.5 * IQR
    upper = Q3 + 1.5 * IQR

    # Buat kolom outlier
    outlier_col = f'outlier_{col}'
    data_outlier[outlier_col] = data_outlier[col].apply(
        lambda x: -1 if pd.notnull(x) and (x < lower or x > upper) else 1
    )

    # Buat tabel untuk fitur ini
    sub_table = data_outlier[['id', col, outlier_col]]

    # Tampilkan
    display(HTML(f"<h4>Outlier untuk Fitur: {col}</h4>"))
    display(sub_table)

Outlier untuk Fitur: N_Days

	id	N_Days	outlier_N_Days
0	1	400	1
1	2	4500	1
2	3	1012	1
3	4	1925	1
4	5	1504	1
5	6	2503	1
6	7	1832	1
7	8	2466	1
8	9	2400	1
9	10	51	1
10	11	3762	1
11	12	304	1
12	13	3577	1
13	14	1217	1
14	15	3584	1
15	16	3672	1
16	17	769	1
17	18	131	1
18	19	4232	1
19	20	1356	1
20	21	3445	1
21	22	673	1
22	23	264	1
23	24	4079	1
24	25	4127	1
25	26	1444	1
26	27	77	1
27	28	549	1
28	29	4509	1
29	30	321	1
30	31	3839	1
31	32	4523	1
32	33	3170	1
33	34	3933	1
34	35	2847	1
35	36	3611	1
36	37	223	1
37	38	3244	1
38	39	2297	1
39	40	4467	1
40	41	1350	1
41	42	4453	1
42	43	4556	1
43	44	3428	1
44	45	4025	1
45	46	2256	1
46	47	2576	1
47	48	4427	1
48	49	708	1
49	50	2598	1
50	51	3853	1
51	52	2386	1
52	53	1000	1
53	54	1434	1
54	55	1360	1
55	56	1847	1
56	57	3282	1
57	58	4459	1
58	59	2224	1
59	60	4365	1
60	61	4256	1
61	62	3090	1
62	63	859	1
63	64	1487	1
64	65	3992	1
65	66	4191	1
66	67	2769	1
67	68	4039	1
68	69	1170	1
69	70	3458	1
70	71	4196	1
71	72	4184	1
72	73	4190	1
73	74	1827	1
74	75	1191	1
75	76	71	1
76	77	326	1
77	78	1690	1
78	79	3707	1
79	80	890	1
80	81	2540	1
81	82	3574	1
82	83	4050	1
83	84	4032	1
84	85	3358	1
85	86	1657	1
86	87	198	1
87	88	2452	1
88	89	1741	1
89	90	2689	1
90	91	460	1
91	92	388	1
92	93	3913	1
93	94	750	1
94	95	130	1
95	96	3850	1
96	97	611	1
97	98	3823	1
98	99	3820	1
99	100	552	1
100	101	3581	1
101	102	3099	1
102	103	110	1
103	104	3086	1
104	105	3092	1
105	106	3222	1
106	107	3388	1
107	108	2583	1
108	109	2504	1
109	110	2105	1
110	111	2350	1
111	112	3445	1
112	113	980	1
113	114	3395	1
114	115	3422	1
115	116	3336	1
116	117	1083	1
117	118	2288	1
118	119	515	1
119	120	2033	1
120	121	191	1
121	122	3297	1
122	123	971	1
123	124	3069	1
124	125	2468	1
125	126	824	1
126	127	3255	1
127	128	1037	1
128	129	3239	1
129	130	1413	1
130	131	850	1
131	132	2944	1
132	133	2796	1
133	134	3149	1
134	135	3150	1
135	136	3098	1
136	137	2990	1
137	138	1297	1
138	139	2106	1
139	140	3059	1
140	141	3050	1
141	142	2419	1
142	143	786	1
143	144	943	1
144	145	2976	1
145	146	2615	1
146	147	2995	1
147	148	1427	1
148	149	762	1
149	150	2891	1
150	151	2870	1
151	152	1152	1
152	153	2863	1
153	154	140	1
154	155	2666	1
155	156	853	1
156	157	2835	1
157	158	2475	1
158	159	1536	1
159	160	2772	1
160	161	2797	1
161	162	186	1
162	163	2055	1
163	164	264	1
164	165	1077	1
165	166	2721	1
166	167	1682	1
167	168	2713	1
168	169	1212	1
169	170	2692	1
170	171	2574	1
171	172	2301	1
172	173	2657	1
173	174	2644	1
174	175	2624	1
175	176	1492	1
176	177	2609	1
177	178	2580	1
178	179	2573	1
179	180	2563	1
180	181	2556	1
181	182	2555	1
182	183	2241	1
183	184	974	1
184	185	2527	1
185	186	1576	1
186	187	733	1
187	188	2332	1
188	189	2456	1
189	190	2504	1
190	191	216	1
191	192	2443	1
192	193	797	1
193	194	2449	1
194	195	2330	1
195	196	2363	1
196	197	2365	1
197	198	2357	1
198	199	1592	1
199	200	2318	1
200	201	2294	1
201	202	2272	1
202	203	2221	1
203	204	2090	1
204	205	2081	1
205	206	2255	1
206	207	2171	1
207	208	904	1
208	209	2216	1
209	210	2224	1
210	211	2195	1
211	212	2176	1
212	213	2178	1
213	214	1786	1
214	215	1080	1
215	216	2168	1
216	217	790	1
217	218	2170	1
218	219	2157	1
219	220	1235	1
220	221	2050	1
221	222	597	1
222	223	334	1
223	224	1945	1
224	225	2022	1
225	226	1978	1
226	227	999	1
227	228	1967	1
228	229	348	1
229	230	1979	1
230	231	1165	1
231	232	1951	1
232	233	1932	1
233	234	1776	1
234	235	1882	1
235	236	1908	1
236	237	1882	1
237	238	1874	1
238	239	694	1
239	240	1831	1
240	241	837	1
241	242	1810	1
242	243	930	1
243	244	1690	1
244	245	1790	1
245	246	1435	1
246	247	732	1
247	248	1785	1
248	249	1783	1
249	250	1769	1
250	251	1457	1
251	252	1770	1
252	253	1765	1
253	254	737	1
254	255	1735	1
255	256	1701	1
256	257	1614	1
257	258	1702	1
258	259	1615	1
259	260	1656	1
260	261	1677	1
261	262	1666	1
262	263	1301	1
263	264	1542	1
264	265	1084	1
265	266	1614	1
266	267	179	1
267	268	1191	1
268	269	1363	1
269	270	1568	1
270	271	1569	1
271	272	1525	1
272	273	1558	1
273	274	1447	1
274	275	1349	1
275	276	1481	1
276	277	1434	1
277	278	1420	1
278	279	1433	1
279	280	1412	1
280	281	41	1
281	282	1455	1
282	283	1030	1
283	284	1418	1
284	285	1401	1
285	286	1408	1
286	287	1234	1
287	288	1067	1
288	289	799	1
289	290	1363	1
290	291	901	1
291	292	1329	1
292	293	1320	1
293	294	1302	1
294	295	877	1
295	296	1321	1
296	297	533	1
297	298	1300	1
298	299	1293	1
299	300	207	1
300	301	1295	1
301	302	1271	1
302	303	1250	1
303	304	1230	1
304	305	1216	1
305	306	1216	1
306	307	1149	1
307	308	1153	1
308	309	994	1
309	310	939	1
310	311	839	1
311	312	788	1
312	313	4062	1
313	314	3561	1
314	315	2844	1
315	316	2071	1
316	317	3030	1
317	318	1680	1
318	319	41	1
319	320	2403	1
320	321	1170	1
321	322	2011	1
322	323	3523	1
323	324	3468	1
324	325	4795	1
325	326	1236	1
326	327	4214	1
327	328	2111	1
328	329	1462	1
329	330	1746	1
330	331	94	1
331	332	785	1
332	333	1518	1
333	334	466	1
334	335	3527	1
335	336	2635	1
336	337	2286	1
337	338	791	1
338	339	3492	1
339	340	3495	1
340	341	111	1
341	342	3231	1
342	343	625	1
343	344	3157	1
344	345	3021	1
345	346	559	1
346	347	2812	1
347	348	2834	1
348	349	2855	1
349	350	662	1
350	351	727	1
351	352	2716	1
352	353	2698	1
353	354	990	1
354	355	2338	1
355	356	1616	1
356	357	2563	1
357	358	2537	1
358	359	2534	1
359	360	778	1
360	361	617	1
361	362	2267	1
362	363	2249	1
363	364	359	1
364	365	1925	1
365	366	249	1
366	367	2202	1
367	368	43	1
368	369	1197	1
369	370	1095	1
370	371	489	1
371	372	2149	1
372	373	2103	1
373	374	1980	1
374	375	1347	1
375	376	1478	1
376	377	1987	1
377	378	1168	1
378	379	597	1
379	380	1725	1
380	381	1899	1
381	382	221	1
382	383	1022	1
383	384	1639	1
384	385	1635	1
385	386	1654	1
386	387	1653	1
387	388	1560	1
388	389	1581	1
389	390	1419	1
390	391	1443	1
391	392	1368	1
392	393	193	1
393	394	1367	1
394	395	1329	1
395	396	1343	1
396	397	1328	1
397	398	1375	1
398	399	1260	1
399	400	1223	1
400	401	935	1
401	402	943	1
402	403	1141	1
403	404	1092	1
404	405	1150	1
405	406	703	1
406	407	1129	1
407	408	1086	1
408	409	1067	1
409	410	1072	1
410	411	1119	1
411	412	1097	1
412	413	989	1
413	414	681	1
414	415	1103	1
415	416	1055	1
416	417	691	1
417	418	976	1

Outlier untuk Fitur: Age

	id	Age	outlier_Age
0	1	21464	1
1	2	20617	1
2	3	25594	1
3	4	19994	1
4	5	13918	1
5	6	24201	1
6	7	20284	1
7	8	19379	1
8	9	15526	1
9	10	25772	1
10	11	19619	1
11	12	21600	1
12	13	16688	1
13	14	20535	1
14	15	23612	1
15	16	14772	1
16	17	19060	1
17	18	19698	1
18	19	18102	1
19	20	21898	1
20	21	23445	1
21	22	20555	1
22	23	20442	1
23	24	16261	1
24	25	16463	1
25	26	19002	1
26	27	19884	1
27	28	16417	1
28	29	23331	1
29	30	15116	1
30	31	15177	1
31	32	19722	1
32	33	18731	1
33	34	19015	1
34	35	17758	1
35	36	20604	1
36	37	22546	1
37	38	13378	1
38	39	20232	1
39	40	17046	1
40	41	12285	1
41	42	12307	1
42	43	17850	1
43	44	13727	1
44	45	15265	1
45	46	16728	1
46	47	17323	1
47	48	17947	1
48	49	22336	1
49	50	19544	1
50	51	19025	1
51	52	18460	1
52	53	24621	1
53	54	14317	1
54	55	24020	1
55	56	12279	1
56	57	19567	1
57	58	16279	1
58	59	14754	1
59	60	21324	1
60	61	16034	1
61	62	22173	1
62	63	17031	1
63	64	22977	1
64	65	14684	1
65	66	16967	1
66	67	18733	1
67	68	11912	1
68	69	18021	1
69	70	20600	1
70	71	17841	1
71	72	11868	1
72	73	14060	1
73	74	18964	1
74	75	15895	1
75	76	18972	1
76	77	18199	1
77	78	17512	1
78	79	16990	1
79	80	24622	1
80	81	23107	1
81	82	24585	1
82	83	20459	1
83	84	20392	1
84	85	17246	1
85	86	19270	1
86	87	13616	1
87	88	15119	1
88	89	19155	1
89	90	12227	1
90	91	16658	1
91	92	28018	1
92	93	13344	1
93	94	19693	1
94	95	16944	1
95	96	17841	1
96	97	26259	1
97	98	10550	1
98	99	17703	1
99	100	18799	1
100	101	16418	1
101	102	20662	1
102	103	17884	1
103	104	15712	1
104	105	12433	1
105	106	25023	1
106	107	22836	1
107	108	18393	1
108	109	16094	1
109	110	14212	1
110	111	15031	1
111	112	20256	1
112	113	18713	1
113	114	19295	1
114	115	15574	1
115	116	22306	1
116	117	18137	1
117	118	17844	1
118	119	19817	1
119	120	12839	1
120	121	24803	1
121	122	20248	1
122	123	16736	1
123	124	19318	1
124	125	17233	1
125	126	19577	1
126	127	16109	1
127	128	15322	1
128	129	23235	1
129	130	16154	1
130	131	22646	1
131	132	14812	1
132	133	22881	1
133	134	15463	1
134	135	15694	1
135	136	20440	1
136	137	22960	1
137	138	18719	1
138	139	17080	1
139	140	19751	1
140	141	17180	1
141	142	20354	1
142	143	16839	1
143	144	19098	1
144	145	18701	1
145	146	12369	1
146	147	27398	1
147	148	11273	1
148	149	22574	1
149	150	12779	1
150	151	20104	1
151	152	25546	1
152	153	18118	1
153	154	25340	1
154	155	15909	1
155	156	21699	1
156	157	17809	1
157	158	13329	1
158	159	16714	1
159	160	20955	1
160	161	15612	1
161	162	21483	1
162	163	19540	1
163	164	15857	1
164	165	19470	1
165	166	15105	1
166	167	22265	1
167	168	17442	1
168	169	12963	1
169	170	17774	1
170	171	19237	1
171	172	18215	1
172	173	11058	1
173	174	20296	1
174	175	19049	1
175	176	15198	1
176	177	20254	1
177	178	25569	1
178	179	16050	1
179	180	15548	1
180	181	16279	1
181	182	20799	1
182	183	14705	1
183	184	13736	1
184	185	17664	1
185	186	25873	1
186	187	13073	1
187	188	22873	1
188	189	18499	1
189	190	19916	1
190	191	19246	1
191	192	19256	1
192	193	20736	1
193	194	16216	1
194	195	10795	1
195	196	20834	1
196	197	16300	1
197	198	13075	1
198	199	14872	1
199	200	11773	1
200	201	15009	1
201	202	22514	1
202	203	13535	1
203	204	22857	1
204	205	17889	1
205	206	22642	1
206	207	26580	1
207	208	22388	1
208	209	19221	1
209	210	18176	1
210	211	19327	1
211	212	17263	1
212	213	18337	1
213	214	25329	1
214	215	15037	1
215	216	21610	1
216	217	13178	1
217	218	12636	1
218	219	15601	1
219	220	23241	1
220	221	20684	1
221	222	16898	1
222	223	22369	1
223	224	14106	1
224	225	14161	1
225	226	20708	1
226	227	21532	1
227	228	13486	1
228	229	22797	1
229	230	12641	1
230	231	21307	1
231	232	18329	1
232	233	15591	1
233	234	12557	1
234	235	12120	1
235	236	14019	1
236	237	21828	1
237	238	24257	1
238	239	17090	1
239	240	20483	1
240	241	15112	1
241	242	23585	1
242	243	24650	1
243	244	16374	1
244	245	16718	1
245	246	12035	1
246	247	15056	1
247	248	20241	1
248	249	17525	1
249	250	14899	1
250	251	20810	1
251	252	25006	1
252	253	28650	1
253	254	14558	1
254	255	12897	1
255	256	11485	1
256	257	21281	1
257	258	18806	1
258	259	21904	1
259	260	27220	1
260	261	19126	1
261	262	15628	1
262	263	12738	1
263	264	16122	1
264	265	16941	1
265	266	20567	1
266	267	25899	1
267	268	20233	1
268	269	16467	1
269	270	9598	1
270	271	18435	1
271	272	14025	1
272	273	17320	1
273	274	17525	1
274	275	13995	1
275	276	18302	1
276	277	12816	1
277	278	11872	1
278	279	20510	1
279	280	16858	1
280	281	24064	1
281	282	12398	1
282	283	22960	1
283	284	17738	1
284	285	16929	1
285	286	14191	1
286	287	21421	1
287	288	17874	1
288	289	24681	1
289	290	24101	1
290	291	14939	1
291	292	18352	1
292	293	20891	1
293	294	22111	1
294	295	12912	1
295	296	11462	1
296	297	20449	1
297	298	19258	1
298	299	13913	1
299	300	21247	1
300	301	16513	1
301	302	13806	1
302	303	22156	1
303	304	12979	1
304	305	15730	1
305	306	20597	1
306	307	11167	1
307	308	22347	1
308	309	21294	1
309	310	22767	1
310	311	13879	1
311	312	12109	1
312	313	21915	1
313	314	23741	1
314	315	19724	1
315	316	27394	1
316	317	22646	1
317	318	15706	1
318	319	16802	1
319	320	16071	1
320	321	22280	1
321	322	23376	1
322	323	14610	1
323	324	23011	1
324	325	12419	1
325	326	18993	1
326	327	17897	1
327	328	19724	1
328	329	23011	1
329	330	19724	1
330	331	16802	1
331	332	19358	1
332	333	20454	1
333	334	20454	1
334	335	20089	1
335	336	23741	1
336	337	20454	1
337	338	17167	1
338	339	21915	1
339	340	19358	1
340	341	19724	1
341	342	18263	1
342	343	17532	1
343	344	13149	1
344	345	17532	1
345	346	25568	1
346	347	18628	1
347	348	18993	1
348	349	19724	1
349	350	17532	1
350	351	24107	1
351	352	19358	1
352	353	22646	1
353	354	21550	1
354	355	14245	1
355	356	24472	1
356	357	21185	1
357	358	23376	1
358	359	16802	1
359	360	23376	1
360	361	14975	1
361	362	17897	1
362	363	16071	1
363	364	21550	1
364	365	23011	1
365	366	22280	1
366	367	23376	1
367	368	17897	1
368	369	15341	1
369	370	18263	1
370	371	18628	1
371	372	13514	1
372	373	22646	1
373	374	18628	1
374	375	18993	1
375	376	16071	1
376	377	12053	1
377	378	21915	1
378	379	23011	1
379	380	12053	1
380	381	14975	1
381	382	18628	1
382	383	13514	1
383	384	21550	1
384	385	20089	1
385	386	19724	1
386	387	17897	1
387	388	14610	1
388	389	24472	1
389	390	24837	1
390	391	14975	1
391	392	25202	1
392	393	18993	1
393	394	20819	1
394	395	13149	1
395	396	18263	1
396	397	23376	1
397	398	22646	1
398	399	15341	1
399	400	16071	1
400	401	25202	1
401	402	18993	1
402	403	24107	1
403	404	14610	1
404	405	18993	1
405	406	16802	1
406	407	19724	1
407	408	18628	1
408	409	15706	1
409	410	14245	1
410	411	18628	1
411	412	24472	1
412	413	12784	1
413	414	24472	1
414	415	14245	1
415	416	20819	1
416	417	21185	1
417	418	19358	1

Outlier untuk Fitur: Bilirubin

	id	Bilirubin	outlier_Bilirubin
0	1	14.5	-1
1	2	1.1	1
2	3	1.4	1
3	4	1.8	1
4	5	3.4	1
5	6	0.8	1
6	7	1.0	1
7	8	0.3	1
8	9	3.2	1
9	10	12.6	-1
10	11	1.4	1
11	12	3.6	1
12	13	0.7	1
13	14	0.8	1
14	15	0.8	1
15	16	0.7	1
16	17	2.7	1
17	18	11.4	-1
18	19	0.7	1
19	20	5.1	1
20	21	0.6	1
21	22	3.4	1
22	23	17.4	-1
23	24	2.1	1
24	25	0.7	1
25	26	5.2	1
26	27	21.6	-1
27	28	17.2	-1
28	29	0.7	1
29	30	3.6	1
30	31	4.7	1
31	32	1.8	1
32	33	0.8	1
33	34	0.8	1
34	35	1.2	1
35	36	0.3	1
36	37	7.1	1
37	38	3.3	1
38	39	0.7	1
39	40	1.3	1
40	41	6.8	1
41	42	2.1	1
42	43	1.1	1
43	44	3.3	1
44	45	0.6	1
45	46	5.7	1
46	47	0.5	1
47	48	1.9	1
48	49	0.8	1
49	50	1.1	1
50	51	0.8	1
51	52	6.0	1
52	53	2.6	1
53	54	1.3	1
54	55	1.8	1
55	56	1.1	1
56	57	2.3	1
57	58	0.7	1
58	59	0.8	1
59	60	0.9	1
60	61	0.6	1
61	62	1.3	1
62	63	22.5	-1
63	64	2.1	1
64	65	1.2	1
65	66	1.4	1
66	67	1.1	1
67	68	0.7	1
68	69	20.0	-1
69	70	0.6	1
70	71	1.2	1
71	72	0.5	1
72	73	0.7	1
73	74	8.4	-1
74	75	17.1	-1
75	76	12.2	-1
76	77	6.6	1
77	78	6.3	1
78	79	0.8	1
79	80	7.2	1
80	81	14.4	-1
81	82	4.5	1
82	83	1.3	1
83	84	0.4	1
84	85	2.1	1
85	86	5.0	1
86	87	1.1	1
87	88	0.6	1
88	89	2.0	1
89	90	1.6	1
90	91	5.0	1
91	92	1.4	1
92	93	1.3	1
93	94	3.2	1
94	95	17.4	-1
95	96	1.0	1
96	97	2.0	1
97	98	1.0	1
98	99	1.8	1
99	100	2.3	1
100	101	0.9	1
101	102	0.9	1
102	103	2.5	1
103	104	1.1	1
104	105	1.1	1
105	106	2.1	1
106	107	0.6	1
107	108	0.4	1
108	109	0.5	1
109	110	1.9	1
110	111	5.5	1
111	112	2.0	1
112	113	6.7	1
113	114	3.2	1
114	115	0.7	1
115	116	3.0	1
116	117	6.5	1
117	118	3.5	1
118	119	0.6	1
119	120	3.5	1
120	121	1.3	1
121	122	0.6	1
122	123	5.1	1
123	124	0.6	1
124	125	1.3	1
125	126	1.2	1
126	127	0.5	1
127	128	16.2	-1
128	129	0.9	1
129	130	17.4	-1
130	131	2.8	1
131	132	1.9	1
132	133	1.5	1
133	134	0.7	1
134	135	0.4	1
135	136	0.8	1
136	137	1.1	1
137	138	7.3	-1
138	139	1.1	1
139	140	1.1	1
140	141	0.9	1
141	142	1.0	1
142	143	2.9	1
143	144	28.0	-1
144	145	0.7	1
145	146	1.2	1
146	147	1.2	1
147	148	7.2	1
148	149	3.0	1
149	150	1.0	1
150	151	0.9	1
151	152	2.3	1
152	153	0.5	1
153	154	2.4	1
154	155	0.6	1
155	156	25.5	-1
156	157	0.6	1
157	158	3.4	1
158	159	2.5	1
159	160	0.6	1
160	161	2.3	1
161	162	3.2	1
162	163	0.3	1
163	164	8.5	-1
164	165	4.0	1
165	166	5.7	1
166	167	0.9	1
167	168	0.4	1
168	169	1.3	1
169	170	1.2	1
170	171	0.5	1
171	172	1.3	1
172	173	3.0	1
173	174	0.5	1
174	175	0.8	1
175	176	3.2	1
176	177	0.9	1
177	178	0.6	1
178	179	1.8	1
179	180	4.7	1
180	181	1.4	1
181	182	0.6	1
182	183	0.5	1
183	184	11.0	-1
184	185	0.8	1
185	186	2.0	1
186	187	14.0	-1
187	188	0.7	1
188	189	1.3	1
189	190	2.3	1
190	191	24.5	-1
191	192	0.9	1
192	193	10.8	-1
193	194	1.5	1
194	195	3.7	1
195	196	1.4	1
196	197	0.6	1
197	198	0.7	1
198	199	2.1	1
199	200	4.7	1
200	201	0.6	1
201	202	0.5	1
202	203	0.5	1
203	204	0.7	1
204	205	2.5	1
205	206	0.6	1
206	207	0.6	1
207	208	3.9	1
208	209	0.7	1
209	210	0.9	1
210	211	1.3	1
211	212	1.2	1
212	213	0.5	1
213	214	0.9	1
214	215	5.9	1
215	216	0.5	1
216	217	11.4	-1
217	218	0.5	1
218	219	1.6	1
219	220	3.8	1
220	221	0.9	1
221	222	4.5	1
222	223	14.1	-1
223	224	1.0	1
224	225	0.7	1
225	226	0.5	1
226	227	2.3	1
227	228	0.7	1
228	229	4.5	1
229	230	3.3	1
230	231	3.4	1
231	232	0.4	1
232	233	0.9	1
233	234	0.9	1
234	235	13.0	-1
235	236	1.5	1
236	237	1.6	1
237	238	0.6	1
238	239	0.8	1
239	240	0.4	1
240	241	4.4	1
241	242	1.9	1
242	243	8.0	-1
243	244	3.9	1
244	245	0.6	1
245	246	2.1	1
246	247	6.1	1
247	248	0.8	1
248	249	1.3	1
249	250	0.6	1
250	251	0.5	1
251	252	1.1	1
252	253	7.1	1
253	254	3.1	1
254	255	0.7	1
255	256	1.1	1
256	257	0.5	1
257	258	1.1	1
258	259	3.1	1
259	260	5.6	1
260	261	3.2	1
261	262	2.8	1
262	263	1.1	1
263	264	3.4	1
264	265	3.5	1
265	266	0.5	1
266	267	6.6	1
267	268	6.4	1
268	269	3.6	1
269	270	1.0	1
270	271	1.0	1
271	272	0.5	1
272	273	2.2	1
273	274	1.6	1
274	275	2.2	1
275	276	1.0	1
276	277	1.0	1
277	278	5.6	1
278	279	0.5	1
279	280	1.6	1
280	281	17.9	-1
281	282	1.3	1
282	283	1.1	1
283	284	1.3	1
284	285	0.8	1
285	286	2.0	1
286	287	6.4	1
287	288	8.7	-1
288	289	4.0	1
289	290	1.4	1
290	291	3.2	1
291	292	8.6	-1
292	293	8.5	-1
293	294	6.6	1
294	295	2.4	1
295	296	0.8	1
296	297	1.2	1
297	298	1.1	1
298	299	2.4	1
299	300	5.2	1
300	301	1.0	1
301	302	0.7	1
302	303	1.0	1
303	304	0.5	1
304	305	2.9	1
305	306	0.6	1
306	307	0.8	1
307	308	0.4	1
308	309	0.4	1
309	310	1.7	1
310	311	2.0	1
311	312	6.4	1
312	313	0.7	1
313	314	1.4	1
314	315	0.7	1
315	316	0.7	1
316	317	0.8	1
317	318	0.7	1
318	319	5.0	1
319	320	0.4	1
320	321	1.3	1
321	322	1.1	1
322	323	0.6	1
323	324	0.6	1
324	325	1.8	1
325	326	1.5	1
326	327	1.2	1
327	328	1.0	1
328	329	0.7	1
329	330	3.5	1
330	331	3.1	1
331	332	12.6	-1
332	333	2.8	1
333	334	7.1	1
334	335	0.6	1
335	336	2.1	1
336	337	1.8	1
337	338	16.0	-1
338	339	0.6	1
339	340	5.4	1
340	341	9.0	-1
341	342	0.9	1
342	343	11.1	-1
343	344	8.9	-1
344	345	0.5	1
345	346	0.6	1
346	347	3.4	1
347	348	0.9	1
348	349	1.4	1
349	350	2.1	1
350	351	15.0	-1
351	352	0.6	1
352	353	1.3	1
353	354	1.3	1
354	355	1.6	1
355	356	2.2	1
356	357	3.0	1
357	358	0.8	1
358	359	0.8	1
359	360	1.8	1
360	361	5.5	1
361	362	18.0	-1
362	363	0.6	1
363	364	2.7	1
364	365	0.9	1
365	366	1.3	1
366	367	1.1	1
367	368	13.8	-1
368	369	4.4	1
369	370	16.0	-1
370	371	7.3	-1
371	372	0.6	1
372	373	0.7	1
373	374	0.7	1
374	375	1.7	1
375	376	9.5	-1
376	377	2.2	1
377	378	1.8	1
378	379	3.3	1
379	380	2.9	1
380	381	1.7	1
381	382	14.0	-1
382	383	0.8	1
383	384	1.3	1
384	385	0.7	1
385	386	1.7	1
386	387	13.6	-1
387	388	0.9	1
388	389	0.7	1
389	390	3.0	1
390	391	1.2	1
391	392	0.4	1
392	393	0.7	1
393	394	2.0	1
394	395	1.4	1
395	396	1.6	1
396	397	0.5	1
397	398	7.3	-1
398	399	8.1	-1
399	400	0.5	1
400	401	4.2	1
401	402	0.8	1
402	403	2.5	1
403	404	4.6	1
404	405	1.0	1
405	406	4.5	1
406	407	1.1	1
407	408	1.9	1
408	409	0.7	1
409	410	1.5	1
410	411	0.6	1
411	412	1.0	1
412	413	0.7	1
413	414	1.2	1
414	415	0.9	1
415	416	1.6	1
416	417	0.8	1
417	418	0.7	1

Outlier untuk Fitur: Cholesterol

	id	Cholesterol	outlier_Cholesterol
0	1	261.0	1
1	2	302.0	1
2	3	176.0	1
3	4	244.0	1
4	5	279.0	1
5	6	248.0	1
6	7	322.0	1
7	8	280.0	1
8	9	562.0	1
9	10	200.0	1
10	11	259.0	1
11	12	236.0	1
12	13	281.0	1
13	14	NaN	1
14	15	231.0	1
15	16	204.0	1
16	17	274.0	1
17	18	178.0	1
18	19	235.0	1
19	20	374.0	1
20	21	252.0	1
21	22	271.0	1
22	23	395.0	1
23	24	456.0	1
24	25	298.0	1
25	26	1128.0	-1
26	27	175.0	1
27	28	222.0	1
28	29	370.0	1
29	30	260.0	1
30	31	296.0	1
31	32	262.0	1
32	33	210.0	1
33	34	364.0	1
34	35	314.0	1
35	36	172.0	1
36	37	334.0	1
37	38	383.0	1
38	39	282.0	1
39	40	NaN	1
40	41	NaN	1
41	42	NaN	1
42	43	361.0	1
43	44	299.0	1
44	45	NaN	1
45	46	482.0	1
46	47	316.0	1
47	48	259.0	1
48	49	NaN	1
49	50	257.0	1
50	51	276.0	1
51	52	614.0	1
52	53	NaN	1
53	54	288.0	1
54	55	416.0	1
55	56	498.0	1
56	57	260.0	1
57	58	242.0	1
58	59	329.0	1
59	60	604.0	1
60	61	216.0	1
61	62	302.0	1
62	63	932.0	-1
63	64	373.0	1
64	65	256.0	1
65	66	427.0	1
66	67	466.0	1
67	68	174.0	1
68	69	652.0	-1
69	70	NaN	1
70	71	258.0	1
71	72	320.0	1
72	73	132.0	1
73	74	558.0	1
74	75	674.0	-1
75	76	394.0	1
76	77	244.0	1
77	78	436.0	1
78	79	315.0	1
79	80	247.0	1
80	81	448.0	1
81	82	472.0	1
82	83	250.0	1
83	84	263.0	1
84	85	262.0	1
85	86	1600.0	-1
86	87	345.0	1
87	88	296.0	1
88	89	408.0	1
89	90	660.0	-1
90	91	325.0	1
91	92	206.0	1
92	93	353.0	1
93	94	201.0	1
94	95	NaN	1
95	96	NaN	1
96	97	420.0	1
97	98	239.0	1
98	99	460.0	1
99	100	178.0	1
100	101	400.0	1
101	102	248.0	1
102	103	188.0	1
103	104	303.0	1
104	105	464.0	1
105	106	NaN	1
106	107	212.0	1
107	108	127.0	1
108	109	120.0	1
109	110	486.0	1
110	111	528.0	1
111	112	267.0	1
112	113	374.0	1
113	114	259.0	1
114	115	303.0	1
115	116	458.0	1
116	117	950.0	-1
117	118	390.0	1
118	119	636.0	-1
119	120	325.0	1
120	121	151.0	1
121	122	298.0	1
122	123	NaN	1
123	124	251.0	1
124	125	316.0	1
125	126	269.0	1
126	127	268.0	1
127	128	NaN	1
128	129	420.0	1
129	130	1775.0	-1
130	131	242.0	1
131	132	448.0	1
132	133	331.0	1
133	134	578.0	1
134	135	263.0	1
135	136	263.0	1
136	137	399.0	1
137	138	426.0	1
138	139	328.0	1
139	140	290.0	1
140	141	346.0	1
141	142	364.0	1
142	143	332.0	1
143	144	556.0	1
144	145	309.0	1
145	146	NaN	1
146	147	288.0	1
147	148	1015.0	-1
148	149	257.0	1
149	150	NaN	1
150	151	460.0	1
151	152	586.0	1
152	153	217.0	1
153	154	168.0	1
154	155	220.0	1
155	156	358.0	1
156	157	286.0	1
157	158	450.0	1
158	159	317.0	1
159	160	217.0	1
160	161	502.0	1
161	162	260.0	1
162	163	233.0	1
163	164	NaN	1
164	165	196.0	1
165	166	1480.0	-1
166	167	376.0	1
167	168	257.0	1
168	169	408.0	1
169	170	390.0	1
170	171	NaN	1
171	172	205.0	1
172	173	236.0	1
173	174	NaN	1
174	175	283.0	1
175	176	NaN	1
176	177	258.0	1
177	178	NaN	1
178	179	396.0	1
179	180	478.0	1
180	181	248.0	1
181	182	NaN	1
182	183	201.0	1
183	184	674.0	-1
184	185	256.0	1
185	186	225.0	1
186	187	808.0	-1
187	188	187.0	1
188	189	360.0	1
189	190	NaN	1
190	191	1092.0	-1
191	192	308.0	1
192	193	932.0	-1
193	194	293.0	1
194	195	347.0	1
195	196	226.0	1
196	197	266.0	1
197	198	286.0	1
198	199	392.0	1
199	200	236.0	1
200	201	235.0	1
201	202	223.0	1
202	203	149.0	1
203	204	255.0	1
204	205	382.0	1
205	206	213.0	1
206	207	NaN	1
207	208	396.0	1
208	209	252.0	1
209	210	346.0	1
210	211	NaN	1
211	212	232.0	1
212	213	400.0	1
213	214	404.0	1
214	215	1276.0	-1
215	216	NaN	1
216	217	608.0	1
217	218	NaN	1
218	219	215.0	1
219	220	426.0	1
220	221	360.0	1
221	222	372.0	1
222	223	448.0	1
223	224	309.0	1
224	225	274.0	1
225	226	223.0	1
226	227	316.0	1
227	228	215.0	1
228	229	191.0	1
229	230	302.0	1
230	231	518.0	1
231	232	267.0	1
232	233	514.0	1
233	234	578.0	1
234	235	1336.0	-1
235	236	253.0	1
236	237	442.0	1
237	238	280.0	1
238	239	300.0	1
239	240	232.0	1
240	241	316.0	1
241	242	354.0	1
242	243	468.0	1
243	244	350.0	1
244	245	273.0	1
245	246	387.0	1
246	247	1712.0	-1
247	248	324.0	1
248	249	242.0	1
249	250	299.0	1
250	251	227.0	1
251	252	246.0	1
252	253	243.0	1
253	254	227.0	1
254	255	193.0	1
255	256	336.0	1
256	257	280.0	1
257	258	414.0	1
258	259	277.0	1
259	260	232.0	1
260	261	375.0	1
261	262	322.0	1
262	263	432.0	1
263	264	356.0	1
264	265	348.0	1
265	266	318.0	1
266	267	222.0	1
267	268	344.0	1
268	269	374.0	1
269	270	448.0	1
270	271	321.0	1
271	272	226.0	1
272	273	328.0	1
273	274	NaN	1
274	275	572.0	1
275	276	219.0	1
276	277	317.0	1
277	278	338.0	1
278	279	198.0	1
279	280	325.0	1
280	281	175.0	1
281	282	304.0	1
282	283	412.0	1
283	284	291.0	1
284	285	253.0	1
285	286	310.0	1
286	287	373.0	1
287	288	310.0	1
288	289	416.0	1
289	290	294.0	1
290	291	339.0	1
291	292	546.0	1
292	293	194.0	1
293	294	1000.0	-1
294	295	646.0	-1
295	296	328.0	1
296	297	275.0	1
297	298	340.0	1
298	299	342.0	1
299	300	NaN	1
300	301	393.0	1
301	302	335.0	1
302	303	372.0	1
303	304	219.0	1
304	305	426.0	1
305	306	239.0	1
306	307	273.0	1
307	308	246.0	1
308	309	260.0	1
309	310	434.0	1
310	311	247.0	1
311	312	576.0	1
312	313	NaN	1
313	314	NaN	1
314	315	NaN	1
315	316	NaN	1
316	317	NaN	1
317	318	NaN	1
318	319	NaN	1
319	320	NaN	1
320	321	NaN	1
321	322	NaN	1
322	323	NaN	1
323	324	NaN	1
324	325	NaN	1
325	326	NaN	1
326	327	NaN	1
327	328	NaN	1
328	329	NaN	1
329	330	NaN	1
330	331	NaN	1
331	332	NaN	1
332	333	NaN	1
333	334	NaN	1
334	335	NaN	1
335	336	NaN	1
336	337	NaN	1
337	338	NaN	1
338	339	NaN	1
339	340	NaN	1
340	341	NaN	1
341	342	NaN	1
342	343	NaN	1
343	344	NaN	1
344	345	NaN	1
345	346	NaN	1
346	347	NaN	1
347	348	NaN	1
348	349	NaN	1
349	350	NaN	1
350	351	NaN	1
351	352	NaN	1
352	353	NaN	1
353	354	NaN	1
354	355	NaN	1
355	356	NaN	1
356	357	NaN	1
357	358	NaN	1
358	359	NaN	1
359	360	NaN	1
360	361	NaN	1
361	362	NaN	1
362	363	NaN	1
363	364	NaN	1
364	365	NaN	1
365	366	NaN	1
366	367	NaN	1
367	368	NaN	1
368	369	NaN	1
369	370	NaN	1
370	371	NaN	1
371	372	NaN	1
372	373	NaN	1
373	374	NaN	1
374	375	NaN	1
375	376	NaN	1
376	377	NaN	1
377	378	NaN	1
378	379	NaN	1
379	380	NaN	1
380	381	NaN	1
381	382	NaN	1
382	383	NaN	1
383	384	NaN	1
384	385	NaN	1
385	386	NaN	1
386	387	NaN	1
387	388	NaN	1
388	389	NaN	1
389	390	NaN	1
390	391	NaN	1
391	392	NaN	1
392	393	NaN	1
393	394	NaN	1
394	395	NaN	1
395	396	NaN	1
396	397	NaN	1
397	398	NaN	1
398	399	NaN	1
399	400	NaN	1
400	401	NaN	1
401	402	NaN	1
402	403	NaN	1
403	404	NaN	1
404	405	NaN	1
405	406	NaN	1
406	407	NaN	1
407	408	NaN	1
408	409	NaN	1
409	410	NaN	1
410	411	NaN	1
411	412	NaN	1
412	413	NaN	1
413	414	NaN	1
414	415	NaN	1
415	416	NaN	1
416	417	NaN	1
417	418	NaN	1

Outlier untuk Fitur: Albumin

	id	Albumin	outlier_Albumin
0	1	2.60	1
1	2	4.14	1
2	3	3.48	1
3	4	2.54	1
4	5	3.53	1
5	6	3.98	1
6	7	4.09	1
7	8	4.00	1
8	9	3.08	1
9	10	2.74	1
10	11	4.16	1
11	12	3.52	1
12	13	3.85	1
13	14	2.27	-1
14	15	3.87	1
15	16	3.66	1
16	17	3.15	1
17	18	2.80	1
18	19	3.56	1
19	20	3.51	1
20	21	3.83	1
21	22	3.63	1
22	23	2.94	1
23	24	4.00	1
24	25	4.10	1
25	26	3.68	1
26	27	3.31	1
27	28	3.23	1
28	29	3.78	1
29	30	2.54	1
30	31	3.44	1
31	32	3.34	1
32	33	3.19	1
33	34	3.70	1
34	35	3.20	1
35	36	3.39	1
36	37	3.01	1
37	38	3.53	1
38	39	3.00	1
39	40	3.34	1
40	41	3.26	1
41	42	3.54	1
42	43	3.64	1
43	44	3.55	1
44	45	3.93	1
45	46	2.84	1
46	47	3.65	1
47	48	3.70	1
48	49	3.82	1
49	50	3.36	1
50	51	3.60	1
51	52	3.70	1
52	53	3.10	1
53	54	3.40	1
54	55	3.94	1
55	56	3.80	1
56	57	3.18	1
57	58	4.08	1
58	59	3.50	1
59	60	3.40	1
60	61	3.94	1
61	62	2.75	1
62	63	3.12	1
63	64	3.50	1
64	65	3.60	1
65	66	3.70	1
66	67	3.91	1
67	68	4.09	1
68	69	3.46	1
69	70	4.64	-1
70	71	3.57	1
71	72	3.54	1
72	73	3.60	1
73	74	3.99	1
74	75	2.53	1
75	76	3.08	1
76	77	3.41	1
77	78	3.02	1
78	79	4.24	1
79	80	3.72	1
80	81	3.65	1
81	82	4.09	1
82	83	3.50	1
83	84	3.76	1
84	85	3.48	1
85	86	3.21	1
86	87	4.40	1
87	88	4.06	1
88	89	3.65	1
89	90	4.22	1
90	91	3.47	1
91	92	3.13	1
92	93	3.67	1
93	94	3.11	1
94	95	2.64	1
95	96	3.70	1
96	97	3.26	1
97	98	3.77	1
98	99	3.35	1
99	100	3.00	1
100	101	3.60	1
101	102	3.97	1
102	103	3.67	1
103	104	3.64	1
104	105	4.20	1
105	106	3.90	1
106	107	4.03	1
107	108	3.50	1
108	109	3.61	1
109	110	3.54	1
110	111	4.18	1
111	112	3.67	1
112	113	3.74	1
113	114	4.30	1
114	115	4.19	1
115	116	3.63	1
116	117	3.11	1
117	118	3.30	1
118	119	3.83	1
119	120	3.98	1
120	121	3.08	1
121	122	4.13	1
122	123	3.23	1
123	124	3.90	1
124	125	3.51	1
125	126	3.12	1
126	127	4.08	1
127	128	2.89	1
128	129	3.87	1
129	130	3.43	1
130	131	3.80	1
131	132	3.83	1
132	133	3.95	1
133	134	3.67	1
134	135	3.57	1
135	136	3.35	1
136	137	3.60	1
137	138	3.93	1
138	139	3.31	1
139	140	4.09	1
140	141	3.77	1
141	142	3.48	1
142	143	3.60	1
143	144	3.26	1
144	145	3.84	1
145	146	3.89	1
146	147	3.37	1
147	148	3.26	1
148	149	3.79	1
149	150	3.63	1
150	151	3.03	1
151	152	3.01	1
152	153	3.85	1
153	154	2.56	1
154	155	3.35	1
155	156	3.52	1
156	157	3.42	1
157	158	3.37	1
158	159	3.46	1
159	160	3.62	1
160	161	3.56	1
161	162	3.19	1
162	163	4.08	1
163	164	3.34	1
164	165	3.45	1
165	166	3.26	1
166	167	3.86	1
167	168	3.80	1
168	169	4.22	1
169	170	3.61	1
170	171	4.52	1
171	172	3.34	1
172	173	3.42	1
173	174	3.85	1
174	175	3.80	1
175	176	3.56	1
176	177	4.01	1
177	178	4.08	1
178	179	3.83	1
179	180	4.38	1
180	181	3.58	1
181	182	3.69	1
182	183	3.73	1
183	184	3.55	1
184	185	3.54	1
185	186	3.53	1
186	187	3.43	1
187	188	3.48	1
188	189	3.63	1
189	190	3.93	1
190	191	3.35	1
191	192	3.69	1
192	193	3.19	1
193	194	4.30	1
194	195	3.90	1
195	196	3.36	1
196	197	3.97	1
197	198	2.90	1
198	199	3.43	1
199	200	3.55	1
200	201	3.20	1
201	202	3.80	1
202	203	4.04	1
203	204	3.74	1
204	205	3.55	1
205	206	4.07	1
206	207	3.33	1
207	208	3.20	1
208	209	4.01	1
209	210	3.37	1
210	211	3.76	1
211	212	3.98	1
212	213	3.40	1
213	214	3.43	1
214	215	3.85	1
215	216	3.68	1
216	217	3.31	1
217	218	3.89	1
218	219	4.17	1
219	220	3.22	1
220	221	3.65	1
221	222	3.38	1
222	223	2.43	-1
223	224	3.66	1
224	225	3.66	1
225	226	3.70	1
226	227	3.35	1
227	228	3.35	1
228	229	3.05	1
229	230	3.41	1
230	231	1.96	-1
231	232	3.02	1
232	233	3.06	1
233	234	3.35	1
234	235	4.16	1
235	236	3.79	1
236	237	2.95	1
237	238	3.35	1
238	239	2.94	1
239	240	3.72	1
240	241	3.62	1
241	242	2.97	1
242	243	2.81	1
243	244	3.22	1
244	245	3.65	1
245	246	3.77	1
246	247	2.83	1
247	248	3.51	1
248	249	3.20	1
249	250	3.36	1
250	251	3.61	1
251	252	3.35	1
252	253	3.03	1
253	254	3.75	1
254	255	3.85	1
255	256	3.74	1
256	257	4.23	1
257	258	3.44	1
258	259	2.97	1
259	260	3.59	1
260	261	3.14	1
261	262	3.06	1
262	263	3.57	1
263	264	3.12	1
264	265	3.20	1
265	266	3.32	1
266	267	2.33	-1
267	268	2.75	1
268	269	3.50	1
269	270	3.74	1
270	271	3.50	1
271	272	2.93	1
272	273	3.46	1
273	274	3.07	1
274	275	3.77	1
275	276	3.85	1
276	277	3.56	1
277	278	3.70	1
278	279	3.77	1
279	280	3.69	1
280	281	2.10	-1
281	282	3.52	1
282	283	3.99	1
283	284	3.44	1
284	285	3.48	1
285	286	3.36	1
286	287	3.46	1
287	288	3.89	1
288	289	3.99	1
289	290	3.57	1
290	291	3.18	1
291	292	3.73	1
292	293	2.98	1
293	294	3.07	1
294	295	3.83	1
295	296	3.31	1
296	297	3.43	1
297	298	3.37	1
298	299	3.76	1
299	300	2.23	-1
300	301	3.57	1
301	302	3.95	1
302	303	3.25	1
303	304	3.93	1
304	305	3.61	1
305	306	3.45	1
306	307	3.56	1
307	308	3.58	1
308	309	2.75	1
309	310	3.35	1
310	311	3.16	1
311	312	3.79	1
312	313	3.65	1
313	314	3.04	1
314	315	4.03	1
315	316	3.96	1
316	317	2.48	1
317	318	3.68	1
318	319	2.93	1
319	320	3.81	1
320	321	3.41	1
321	322	3.69	1
322	323	4.04	1
323	324	3.94	1
324	325	3.24	1
325	326	3.42	1
326	327	3.99	1
327	328	3.60	1
328	329	3.40	1
329	330	3.63	1
330	331	3.56	1
331	332	2.87	1
332	333	3.92	1
333	334	3.51	1
334	335	4.15	1
335	336	3.34	1
336	337	3.64	1
337	338	3.42	1
338	339	4.38	1
339	340	4.19	1
340	341	3.29	1
341	342	4.01	1
342	343	2.84	1
343	344	3.76	1
344	345	3.76	1
345	346	3.81	1
346	347	3.92	1
347	348	3.14	1
348	349	3.82	1
349	350	4.10	1
350	351	3.40	1
351	352	4.19	1
352	353	3.40	1
353	354	3.12	1
354	355	3.75	1
355	356	3.26	1
356	357	3.46	1
357	358	3.49	1
358	359	2.89	1
359	360	3.15	1
360	361	2.31	-1
361	362	3.04	1
362	363	3.50	1
363	364	3.35	1
364	365	3.58	1
365	366	3.01	1
366	367	3.49	1
367	368	2.77	1
368	369	4.52	1
369	370	3.36	1
370	371	3.52	1
371	372	3.55	1
372	373	3.29	1
373	374	3.10	1
374	375	3.24	1
375	376	3.63	1
376	377	3.76	1
377	378	3.62	1
378	379	2.73	1
379	380	4.08	1
380	381	3.66	1
381	382	2.58	1
382	383	3.00	1
383	384	3.40	1
384	385	2.93	1
385	386	2.38	-1
386	387	3.00	1
387	388	3.50	1
388	389	3.06	1
389	390	3.15	1
390	391	2.80	1
391	392	3.03	1
392	393	2.96	1
393	394	3.07	1
394	395	3.98	1
395	396	3.48	1
396	397	3.65	1
397	398	3.49	1
398	399	2.82	1
399	400	3.34	1
400	401	3.19	1
401	402	3.01	1
402	403	3.33	1
403	404	3.60	1
404	405	3.64	1
405	406	2.68	1
406	407	3.69	1
407	408	3.17	1
408	409	3.73	1
409	410	3.81	1
410	411	3.57	1
411	412	3.58	1
412	413	3.23	1
413	414	2.96	1
414	415	3.83	1
415	416	3.42	1
416	417	3.75	1
417	418	3.29	1

Outlier untuk Fitur: Copper

	id	Copper	outlier_Copper
0	1	156.0	1
1	2	54.0	1
2	3	210.0	1
3	4	64.0	1
4	5	143.0	1
5	6	50.0	1
6	7	52.0	1
7	8	52.0	1
8	9	79.0	1
9	10	140.0	1
10	11	46.0	1
11	12	94.0	1
12	13	40.0	1
13	14	43.0	1
14	15	173.0	1
15	16	28.0	1
16	17	159.0	1
17	18	588.0	-1
18	19	39.0	1
19	20	140.0	1
20	21	41.0	1
21	22	464.0	-1
22	23	558.0	-1
23	24	124.0	1
24	25	40.0	1
25	26	53.0	1
26	27	221.0	1
27	28	209.0	1
28	29	24.0	1
29	30	172.0	1
30	31	114.0	1
31	32	101.0	1
32	33	82.0	1
33	34	37.0	1
34	35	201.0	1
35	36	18.0	1
36	37	150.0	1
37	38	102.0	1
38	39	52.0	1
39	40	105.0	1
40	41	96.0	1
41	42	122.0	1
42	43	36.0	1
43	44	131.0	1
44	45	19.0	1
45	46	161.0	1
46	47	68.0	1
47	48	281.0	-1
48	49	58.0	1
49	50	43.0	1
50	51	54.0	1
51	52	158.0	1
52	53	94.0	1
53	54	262.0	-1
54	55	121.0	1
55	56	88.0	1
56	57	231.0	1
57	58	73.0	1
58	59	49.0	1
59	60	82.0	1
60	61	28.0	1
61	62	58.0	1
62	63	95.0	1
63	64	52.0	1
64	65	74.0	1
65	66	105.0	1
66	67	84.0	1
67	68	58.0	1
68	69	159.0	1
69	70	20.0	1
70	71	79.0	1
71	72	51.0	1
72	73	17.0	1
73	74	280.0	-1
74	75	207.0	1
75	76	111.0	1
76	77	199.0	1
77	78	75.0	1
78	79	13.0	1
79	80	269.0	-1
80	81	34.0	1
81	82	154.0	1
82	83	48.0	1
83	84	29.0	1
84	85	58.0	1
85	86	75.0	1
86	87	75.0	1
87	88	37.0	1
88	89	50.0	1
89	90	94.0	1
90	91	110.0	1
91	92	36.0	1
92	93	73.0	1
93	94	178.0	1
94	95	182.0	1
95	96	33.0	1
96	97	62.0	1
97	98	77.0	1
98	99	148.0	1
99	100	145.0	1
100	101	31.0	1
101	102	172.0	1
102	103	57.0	1
103	104	20.0	1
104	105	38.0	1
105	106	50.0	1
106	107	10.0	1
107	108	14.0	1
108	109	53.0	1
109	110	74.0	1
110	111	77.0	1
111	112	89.0	1
112	113	103.0	1
113	114	208.0	1
114	115	81.0	1
115	116	74.0	1
116	117	111.0	1
117	118	67.0	1
118	119	129.0	1
119	120	444.0	-1
120	121	73.0	1
121	122	29.0	1
122	123	18.0	1
123	124	25.0	1
124	125	75.0	1
125	126	NaN	1
126	127	9.0	1
127	128	42.0	1
128	129	30.0	1
129	130	205.0	1
130	131	74.0	1
131	132	60.0	1
132	133	13.0	1
133	134	35.0	1
134	135	123.0	1
135	136	27.0	1
136	137	79.0	1
137	138	262.0	-1
138	139	159.0	1
139	140	38.0	1
140	141	59.0	1
141	142	20.0	1
142	143	86.0	1
143	144	152.0	1
144	145	96.0	1
145	146	58.0	1
146	147	32.0	1
147	148	247.0	-1
148	149	290.0	-1
149	150	57.0	1
150	151	57.0	1
151	152	243.0	1
152	153	68.0	1
153	154	225.0	1
154	155	57.0	1
155	156	219.0	1
156	157	34.0	1
157	158	32.0	1
158	159	217.0	1
159	160	13.0	1
160	161	4.0	1
161	162	91.0	1
162	163	20.0	1
163	164	161.0	1
164	165	80.0	1
165	166	84.0	1
166	167	200.0	1
167	168	44.0	1
168	169	67.0	1
169	170	32.0	1
170	171	31.0	1
171	172	65.0	1
172	173	76.0	1
173	174	63.0	1
174	175	152.0	1
175	176	77.0	1
176	177	49.0	1
177	178	51.0	1
178	179	39.0	1
179	180	44.0	1
180	181	63.0	1
181	182	161.0	1
182	183	44.0	1
183	184	358.0	-1
184	185	42.0	1
185	186	51.0	1
186	187	251.0	-1
187	188	41.0	1
188	189	52.0	1
189	190	24.0	1
190	191	233.0	1
191	192	67.0	1
192	193	267.0	-1
193	194	50.0	1
194	195	76.0	1
195	196	13.0	1
196	197	25.0	1
197	198	38.0	1
198	199	52.0	1
199	200	112.0	1
200	201	26.0	1
201	202	15.0	1
202	203	227.0	1
203	204	23.0	1
204	205	108.0	1
205	206	12.0	1
206	207	14.0	1
207	208	58.0	1
208	209	11.0	1
209	210	81.0	1
210	211	27.0	1
211	212	11.0	1
212	213	9.0	1
213	214	34.0	1
214	215	141.0	1
215	216	20.0	1
216	217	65.0	1
217	218	29.0	1
218	219	67.0	1
219	220	96.0	1
220	221	72.0	1
221	222	227.0	1
222	223	123.0	1
223	224	67.0	1
224	225	108.0	1
225	226	39.0	1
226	227	172.0	1
227	228	41.0	1
228	229	200.0	1
229	230	51.0	1
230	231	115.0	1
231	232	47.0	1
232	233	412.0	-1
233	234	78.0	1
234	235	71.0	1
235	236	67.0	1
236	237	105.0	1
237	238	NaN	1
238	239	231.0	1
239	240	24.0	1
240	241	308.0	-1
241	242	86.0	1
242	243	139.0	1
243	244	121.0	1
244	245	48.0	1
245	246	63.0	1
246	247	89.0	1
247	248	39.0	1
248	249	35.0	1
249	250	23.0	1
250	251	40.0	1
251	252	116.0	1
252	253	380.0	-1
253	254	121.0	1
254	255	35.0	1
255	256	48.0	1
256	257	36.0	1
257	258	80.0	1
258	259	42.0	1
259	260	188.0	1
260	261	129.0	1
261	262	65.0	1
262	263	45.0	1
263	264	188.0	1
264	265	121.0	1
265	266	52.0	1
266	267	138.0	1
267	268	16.0	1
268	269	143.0	1
269	270	102.0	1
270	271	94.0	1
271	272	22.0	1
272	273	75.0	1
273	274	136.0	1
274	275	77.0	1
275	276	67.0	1
276	277	44.0	1
277	278	130.0	1
278	279	38.0	1
279	280	69.0	1
280	281	220.0	1
281	282	97.0	1
282	283	103.0	1
283	284	75.0	1
284	285	65.0	1
285	286	70.0	1
286	287	155.0	1
287	288	107.0	1
288	289	177.0	1
289	290	33.0	1
290	291	123.0	1
291	292	84.0	1
292	293	196.0	1
293	294	88.0	1
294	295	102.0	1
295	296	62.0	1
296	297	100.0	1
297	298	73.0	1
298	299	90.0	1
299	300	234.0	1
300	301	50.0	1
301	302	43.0	1
302	303	108.0	1
303	304	22.0	1
304	305	73.0	1
305	306	31.0	1
306	307	52.0	1
307	308	24.0	1
308	309	41.0	1
309	310	39.0	1
310	311	69.0	1
311	312	186.0	1
312	313	NaN	1
313	314	NaN	1
314	315	NaN	1
315	316	NaN	1
316	317	NaN	1
317	318	NaN	1
318	319	NaN	1
319	320	NaN	1
320	321	NaN	1
321	322	NaN	1
322	323	NaN	1
323	324	NaN	1
324	325	NaN	1
325	326	NaN	1
326	327	NaN	1
327	328	NaN	1
328	329	NaN	1
329	330	NaN	1
330	331	NaN	1
331	332	NaN	1
332	333	NaN	1
333	334	NaN	1
334	335	NaN	1
335	336	NaN	1
336	337	NaN	1
337	338	NaN	1
338	339	NaN	1
339	340	NaN	1
340	341	NaN	1
341	342	NaN	1
342	343	NaN	1
343	344	NaN	1
344	345	NaN	1
345	346	NaN	1
346	347	NaN	1
347	348	NaN	1
348	349	NaN	1
349	350	NaN	1
350	351	NaN	1
351	352	NaN	1
352	353	NaN	1
353	354	NaN	1
354	355	NaN	1
355	356	NaN	1
356	357	NaN	1
357	358	NaN	1
358	359	NaN	1
359	360	NaN	1
360	361	NaN	1
361	362	NaN	1
362	363	NaN	1
363	364	NaN	1
364	365	NaN	1
365	366	NaN	1
366	367	NaN	1
367	368	NaN	1
368	369	NaN	1
369	370	NaN	1
370	371	NaN	1
371	372	NaN	1
372	373	NaN	1
373	374	NaN	1
374	375	NaN	1
375	376	NaN	1
376	377	NaN	1
377	378	NaN	1
378	379	NaN	1
379	380	NaN	1
380	381	NaN	1
381	382	NaN	1
382	383	NaN	1
383	384	NaN	1
384	385	NaN	1
385	386	NaN	1
386	387	NaN	1
387	388	NaN	1
388	389	NaN	1
389	390	NaN	1
390	391	NaN	1
391	392	NaN	1
392	393	NaN	1
393	394	NaN	1
394	395	NaN	1
395	396	NaN	1
396	397	NaN	1
397	398	NaN	1
398	399	NaN	1
399	400	NaN	1
400	401	NaN	1
401	402	NaN	1
402	403	NaN	1
403	404	NaN	1
404	405	NaN	1
405	406	NaN	1
406	407	NaN	1
407	408	NaN	1
408	409	NaN	1
409	410	NaN	1
410	411	NaN	1
411	412	NaN	1
412	413	NaN	1
413	414	NaN	1
414	415	NaN	1
415	416	NaN	1
416	417	NaN	1
417	418	NaN	1

Outlier untuk Fitur: Alk_Phos

	id	Alk_Phos	outlier_Alk_Phos
0	1	1718.0	1
1	2	7394.8	-1
2	3	516.0	1
3	4	6121.8	-1
4	5	671.0	1
5	6	944.0	1
6	7	824.0	1
7	8	4651.2	-1
8	9	2276.0	1
9	10	918.0	1
10	11	1104.0	1
11	12	591.0	1
12	13	1181.0	1
13	14	728.0	1
14	15	9009.8	-1
15	16	685.0	1
16	17	1533.0	1
17	18	961.0	1
18	19	1881.0	1
19	20	1919.0	1
20	21	843.0	1
21	22	1376.0	1
22	23	6064.8	-1
23	24	5719.0	-1
24	25	661.0	1
25	26	3228.0	1
26	27	3697.4	-1
27	28	1975.0	1
28	29	5833.0	-1
29	30	7277.0	-1
30	31	9933.2	-1
31	32	7277.0	-1
32	33	1592.0	1
33	34	1840.0	1
34	35	12258.8	-1
35	36	558.0	1
36	37	6931.2	-1
37	38	1234.0	1
38	39	9066.8	-1
39	40	11046.6	-1
40	41	1215.0	1
41	42	8778.0	-1
42	43	5430.2	-1
43	44	1029.0	1
44	45	1826.0	1
45	46	11552.0	-1
46	47	1716.0	1
47	48	10396.8	-1
48	49	678.0	1
49	50	1080.0	1
50	51	4332.0	-1
51	52	5084.4	-1
52	53	6456.2	-1
53	54	5487.2	-1
54	55	10165.0	-1
55	56	13862.4	-1
56	57	11320.2	-1
57	58	5890.0	-1
58	59	7622.8	-1
59	60	876.0	1
60	61	601.0	1
61	62	1523.0	1
62	63	5396.0	-1
63	64	1009.0	1
64	65	724.0	1
65	66	1909.0	1
66	67	1787.0	1
67	68	642.0	1
68	69	3292.0	1
69	70	666.0	1
70	71	2201.0	1
71	72	1243.0	1
72	73	423.0	1
73	74	967.0	1
74	75	2078.0	1
75	76	2132.0	1
76	77	1819.0	1
77	78	2176.0	1
78	79	1637.0	1
79	80	1303.0	1
80	81	1218.0	1
81	82	1580.0	1
82	83	1138.0	1
83	84	1345.0	1
84	85	2045.0	1
85	86	2656.0	1
86	87	1860.0	1
87	88	1032.0	1
88	89	1083.0	1
89	90	1857.0	1
90	91	2460.0	1
91	92	1626.0	1
92	93	2039.0	1
93	94	1212.0	1
94	95	559.0	1
95	96	1258.0	1
96	97	3196.0	1
97	98	1877.0	1
98	99	1472.0	1
99	100	746.0	1
100	101	1689.0	1
101	102	646.0	1
102	103	1273.0	1
103	104	2108.0	1
104	105	1644.0	1
105	106	1087.0	1
106	107	648.0	1
107	108	1062.0	1
108	109	804.0	1
109	110	1052.0	1
110	111	2404.0	1
111	112	754.0	1
112	113	979.0	1
113	114	1040.0	1
114	115	1584.0	1
115	116	1588.0	1
116	117	2374.0	1
117	118	878.0	1
118	119	944.0	1
119	120	766.0	1
120	121	1112.0	1
121	122	758.0	1
122	123	790.0	1
123	124	681.0	1
124	125	1162.0	1
125	126	1441.0	1
126	127	1174.0	1
127	128	1828.0	1
128	129	1009.0	1
129	130	2065.0	1
130	131	614.0	1
131	132	1052.0	1
132	133	577.0	1
133	134	1353.0	1
134	135	836.0	1
135	136	1636.0	1
136	137	3472.0	1
137	138	2424.0	1
138	139	1260.0	1
139	140	2120.0	1
140	141	794.0	1
141	142	720.0	1
142	143	1492.0	1
143	144	3896.0	-1
144	145	858.0	1
145	146	1284.0	1
146	147	791.0	1
147	148	3836.0	-1
148	149	1664.0	1
149	150	1536.0	1
150	151	721.0	1
151	152	2276.0	1
152	153	453.0	1
153	154	1056.0	1
154	155	1620.0	1
155	156	2468.0	1
156	157	1868.0	1
157	158	1408.0	1
158	159	714.0	1
159	160	414.0	1
160	161	964.0	1
161	162	815.0	1
162	163	622.0	1
163	164	1428.0	1
164	165	2496.0	1
165	166	1960.0	1
166	167	1015.0	1
167	168	842.0	1
168	169	1387.0	1
169	170	1509.0	1
170	171	784.0	1
171	172	1031.0	1
172	173	1403.0	1
173	174	663.0	1
174	175	718.0	1
175	176	1790.0	1
176	177	559.0	1
177	178	665.0	1
178	179	2148.0	1
179	180	1629.0	1
180	181	554.0	1
181	182	674.0	1
182	183	1345.0	1
183	184	2412.0	1
184	185	1132.0	1
185	186	933.0	1
186	187	2870.0	1
187	188	654.0	1
188	189	1812.0	1
189	190	1828.0	1
190	191	3740.0	-1
191	192	696.0	1
192	193	2184.0	1
193	194	975.0	1
194	195	2544.0	1
195	196	810.0	1
196	197	1164.0	1
197	198	1692.0	1
198	199	1395.0	1
199	200	1391.0	1
200	201	1758.0	1
201	202	1044.0	1
202	203	598.0	1
203	204	1024.0	1
204	205	1516.0	1
205	206	5300.0	-1
206	207	733.0	1
207	208	1440.0	1
208	209	1210.0	1
209	210	1098.0	1
210	211	1282.0	1
211	212	1074.0	1
212	213	1134.0	1
213	214	1866.0	1
214	215	1204.0	1
215	216	856.0	1
216	217	1790.0	1
217	218	897.0	1
218	219	936.0	1
219	220	2716.0	1
220	221	3186.0	1
221	222	2310.0	1
222	223	1833.0	1
223	224	1214.0	1
224	225	1065.0	1
225	226	884.0	1
226	227	1601.0	1
227	228	645.0	1
228	229	1020.0	1
229	230	310.0	1
230	231	2250.0	1
231	232	1001.0	1
232	233	2622.0	1
233	234	976.0	1
234	235	3510.0	1
235	236	1006.0	1
236	237	820.0	1
237	238	1093.0	1
238	239	1794.0	1
239	240	369.0	1
240	241	1119.0	1
241	242	1553.0	1
242	243	2009.0	1
243	244	1268.0	1
244	245	794.0	1
245	246	1613.0	1
246	247	3681.0	-1
247	248	1237.0	1
248	249	1556.0	1
249	250	2769.0	1
250	251	676.0	1
251	252	924.0	1
252	253	983.0	1
253	254	1136.0	1
254	255	466.0	1
255	256	823.0	1
256	257	377.0	1
257	258	1003.0	1
258	259	1110.0	1
259	260	1120.0	1
260	261	857.0	1
261	262	2562.0	1
262	263	1406.0	1
263	264	1911.0	1
264	265	938.0	1
265	266	613.0	1
266	267	620.0	1
267	268	834.0	1
268	269	1428.0	1
269	270	1128.0	1
270	271	955.0	1
271	272	674.0	1
272	273	1677.0	1
273	274	1995.0	1
274	275	2520.0	1
275	276	640.0	1
276	277	1636.0	1
277	278	2139.0	1
278	279	911.0	1
279	280	2583.0	1
280	281	705.0	1
281	282	1622.0	1
282	283	1293.0	1
283	284	1082.0	1
284	285	688.0	1
285	286	1257.0	1
286	287	1768.0	1
287	288	637.0	1
288	289	960.0	1
289	290	722.0	1
290	291	3336.0	1
291	292	1070.0	1
292	293	815.0	1
293	294	3150.0	1
294	295	855.0	1
295	296	1105.0	1
296	297	1142.0	1
297	298	289.0	1
298	299	1653.0	1
299	300	601.0	1
300	301	1307.0	1
301	302	657.0	1
302	303	1190.0	1
303	304	663.0	1
304	305	5184.0	-1
305	306	1072.0	1
306	307	1282.0	1
307	308	797.0	1
308	309	1166.0	1
309	310	1713.0	1
310	311	1050.0	1
311	312	2115.0	1
312	313	NaN	1
313	314	NaN	1
314	315	NaN	1
315	316	NaN	1
316	317	NaN	1
317	318	NaN	1
318	319	NaN	1
319	320	NaN	1
320	321	NaN	1
321	322	NaN	1
322	323	NaN	1
323	324	NaN	1
324	325	NaN	1
325	326	NaN	1
326	327	NaN	1
327	328	NaN	1
328	329	NaN	1
329	330	NaN	1
330	331	NaN	1
331	332	NaN	1
332	333	NaN	1
333	334	NaN	1
334	335	NaN	1
335	336	NaN	1
336	337	NaN	1
337	338	NaN	1
338	339	NaN	1
339	340	NaN	1
340	341	NaN	1
341	342	NaN	1
342	343	NaN	1
343	344	NaN	1
344	345	NaN	1
345	346	NaN	1
346	347	NaN	1
347	348	NaN	1
348	349	NaN	1
349	350	NaN	1
350	351	NaN	1
351	352	NaN	1
352	353	NaN	1
353	354	NaN	1
354	355	NaN	1
355	356	NaN	1
356	357	NaN	1
357	358	NaN	1
358	359	NaN	1
359	360	NaN	1
360	361	NaN	1
361	362	NaN	1
362	363	NaN	1
363	364	NaN	1
364	365	NaN	1
365	366	NaN	1
366	367	NaN	1
367	368	NaN	1
368	369	NaN	1
369	370	NaN	1
370	371	NaN	1
371	372	NaN	1
372	373	NaN	1
373	374	NaN	1
374	375	NaN	1
375	376	NaN	1
376	377	NaN	1
377	378	NaN	1
378	379	NaN	1
379	380	NaN	1
380	381	NaN	1
381	382	NaN	1
382	383	NaN	1
383	384	NaN	1
384	385	NaN	1
385	386	NaN	1
386	387	NaN	1
387	388	NaN	1
388	389	NaN	1
389	390	NaN	1
390	391	NaN	1
391	392	NaN	1
392	393	NaN	1
393	394	NaN	1
394	395	NaN	1
395	396	NaN	1
396	397	NaN	1
397	398	NaN	1
398	399	NaN	1
399	400	NaN	1
400	401	NaN	1
401	402	NaN	1
402	403	NaN	1
403	404	NaN	1
404	405	NaN	1
405	406	NaN	1
406	407	NaN	1
407	408	NaN	1
408	409	NaN	1
409	410	NaN	1
410	411	NaN	1
411	412	NaN	1
412	413	NaN	1
413	414	NaN	1
414	415	NaN	1
415	416	NaN	1
416	417	NaN	1
417	418	NaN	1

Outlier untuk Fitur: SGOT

	id	SGOT	outlier_SGOT
0	1	137.95	1
1	2	113.52	1
2	3	96.10	1
3	4	60.63	1
4	5	113.15	1
5	6	93.00	1
6	7	60.45	1
7	8	28.38	1
8	9	144.15	1
9	10	147.25	1
10	11	79.05	1
11	12	82.15	1
12	13	88.35	1
13	14	71.00	1
14	15	127.71	1
15	16	72.85	1
16	17	117.80	1
17	18	280.55	-1
18	19	93.00	1
19	20	122.45	1
20	21	65.10	1
21	22	120.90	1
22	23	227.04	1
23	24	221.88	1
24	25	106.95	1
25	26	165.85	1
26	27	101.91	1
27	28	189.10	1
28	29	73.53	1
29	30	121.26	1
30	31	206.40	1
31	32	82.56	1
32	33	218.55	1
33	34	170.50	1
34	35	72.24	1
35	36	71.30	1
36	37	180.60	1
37	38	137.95	1
38	39	72.24	1
39	40	104.49	1
40	41	151.90	1
41	42	56.76	1
42	43	67.08	1
43	44	119.35	1
44	45	71.30	1
45	46	136.74	1
46	47	187.55	1
47	48	188.34	1
48	49	97.65	1
49	50	106.95	1
50	51	99.33	1
51	52	206.40	1
52	53	56.76	1
53	54	73.53	1
54	55	79.98	1
55	56	95.46	1
56	57	105.78	1
57	58	56.76	1
58	59	126.42	1
59	60	71.30	1
60	61	60.45	1
61	62	43.40	1
62	63	244.90	1
63	64	150.35	1
64	65	141.05	1
65	66	182.90	1
66	67	328.60	-1
67	68	71.30	1
68	69	215.45	1
69	70	54.25	1
70	71	120.90	1
71	72	122.45	1
72	73	49.60	1
73	74	89.90	1
74	75	182.90	1
75	76	155.00	1
76	77	170.50	1
77	78	170.50	1
78	79	170.50	1
79	80	176.70	1
80	81	60.45	1
81	82	117.80	1
82	83	71.30	1
83	84	137.95	1
84	85	89.90	1
85	86	82.15	1
86	87	218.55	1
87	88	80.60	1
88	89	110.05	1
89	90	151.90	1
90	91	246.45	1
91	92	86.80	1
92	93	232.50	1
93	94	159.65	1
94	95	119.35	1
95	96	99.20	1
96	97	77.50	1
97	98	97.65	1
98	99	108.50	1
99	100	178.25	1
100	101	164.30	1
101	102	62.00	1
102	103	119.35	1
103	104	128.65	1
104	105	151.90	1
105	106	103.85	1
106	107	71.30	1
107	108	49.60	1
108	109	110.05	1
109	110	108.50	1
110	111	172.05	1
111	112	196.85	1
112	113	128.65	1
113	114	110.05	1
114	115	111.60	1
115	116	106.95	1
116	117	170.50	1
117	118	137.95	1
118	119	97.65	1
119	120	130.20	1
120	121	46.50	1
121	122	65.10	1
122	123	179.80	1
123	124	57.35	1
124	125	147.25	1
125	126	165.85	1
126	127	86.80	1
127	128	299.15	-1
128	129	57.35	1
129	130	165.85	1
130	131	136.40	1
131	132	127.10	1
132	133	128.65	1
133	134	127.10	1
134	135	74.40	1
135	136	116.25	1
136	137	155.00	1
137	138	145.70	1
138	139	94.55	1
139	140	186.00	1
140	141	125.55	1
141	142	134.85	1
142	143	134.85	1
143	144	198.40	1
144	145	41.85	1
145	146	173.60	1
146	147	57.35	1
147	148	198.40	1
148	149	102.30	1
149	150	134.85	1
150	151	85.25	1
151	152	114.70	1
152	153	54.25	1
153	154	120.90	1
154	155	153.45	1
155	156	201.50	1
156	157	77.50	1
157	158	116.25	1
158	159	130.20	1
159	160	75.95	1
160	161	120.90	1
161	162	127.10	1
162	163	66.65	1
163	164	181.35	1
164	165	133.30	1
165	166	457.25	-1
166	167	83.70	1
167	168	97.65	1
168	169	142.60	1
169	170	88.35	1
170	171	74.40	1
171	172	91.45	1
172	173	89.90	1
173	174	79.05	1
174	175	108.50	1
175	176	139.50	1
176	177	43.40	1
177	178	74.40	1
178	179	102.30	1
179	180	237.15	1
180	181	75.95	1
181	182	26.35	1
182	183	54.25	1
183	184	167.40	1
184	185	74.40	1
185	186	69.75	1
186	187	153.45	1
187	188	120.90	1
188	189	97.65	1
189	190	133.30	1
190	191	147.25	1
191	192	51.15	1
192	193	161.20	1
193	194	125.55	1
194	195	221.65	1
195	196	72.85	1
196	197	102.30	1
197	198	141.05	1
198	199	184.45	1
199	200	137.95	1
200	201	106.95	1
201	202	80.60	1
202	203	52.70	1
203	204	77.50	1
204	205	238.70	1
205	206	57.35	1
206	207	85.25	1
207	208	153.45	1
208	209	72.85	1
209	210	122.45	1
210	211	100.75	1
211	212	100.75	1
212	213	96.10	1
213	214	79.05	1
214	215	203.05	1
215	216	55.80	1
216	217	151.90	1
217	218	66.65	1
218	219	134.85	1
219	220	210.80	1
220	221	94.55	1
221	222	167.40	1
222	223	134.00	1
223	224	158.10	1
224	225	88.35	1
225	226	75.95	1
226	227	179.80	1
227	228	93.00	1
228	229	175.15	1
229	230	83.70	1
230	231	203.05	1
231	232	133.30	1
232	233	105.40	1
233	234	116.25	1
234	235	209.25	1
235	236	139.50	1
236	237	85.25	1
237	238	128.65	1
238	239	130.20	1
239	240	51.15	1
240	241	114.70	1
241	242	196.85	1
242	243	198.40	1
243	244	272.80	-1
244	245	52.70	1
245	246	150.35	1
246	247	158.10	1
247	248	66.65	1
248	249	175.15	1
249	250	220.10	1
250	251	83.00	1
251	252	113.15	1
252	253	158.10	1
253	254	110.00	1
254	255	53.00	1
255	256	84.00	1
256	257	56.00	1
257	258	99.00	1
258	259	125.00	1
259	260	98.00	1
260	261	89.00	1
261	262	91.00	1
262	263	190.00	1
263	264	92.00	1
264	265	120.00	1
265	266	70.00	1
266	267	106.00	1
267	268	82.00	1
268	269	188.00	1
269	270	71.00	1
270	271	111.00	1
271	272	58.00	1
272	273	87.00	1
273	274	128.00	1
274	275	92.00	1
275	276	145.00	1
276	277	84.00	1
277	278	185.00	1
278	279	57.00	1
279	280	142.00	1
280	281	338.00	-1
281	282	71.00	1
282	283	91.00	1
283	284	85.00	1
284	285	57.00	1
285	286	122.00	1
286	287	120.00	1
287	288	117.00	1
288	289	86.00	1
289	290	93.00	1
290	291	205.00	1
291	292	127.00	1
292	293	163.00	1
293	294	193.00	1
294	295	127.00	1
295	296	137.00	1
296	297	75.00	1
297	298	97.00	1
298	299	150.00	1
299	300	135.00	1
300	301	74.00	1
301	302	52.00	1
302	303	140.00	1
303	304	45.00	1
304	305	288.00	-1
305	306	55.00	1
306	307	130.00	1
307	308	91.00	1
308	309	70.00	1
309	310	171.00	1
310	311	117.00	1
311	312	136.00	1
312	313	NaN	1
313	314	NaN	1
314	315	NaN	1
315	316	NaN	1
316	317	NaN	1
317	318	NaN	1
318	319	NaN	1
319	320	NaN	1
320	321	NaN	1
321	322	NaN	1
322	323	NaN	1
323	324	NaN	1
324	325	NaN	1
325	326	NaN	1
326	327	NaN	1
327	328	NaN	1
328	329	NaN	1
329	330	NaN	1
330	331	NaN	1
331	332	NaN	1
332	333	NaN	1
333	334	NaN	1
334	335	NaN	1
335	336	NaN	1
336	337	NaN	1
337	338	NaN	1
338	339	NaN	1
339	340	NaN	1
340	341	NaN	1
341	342	NaN	1
342	343	NaN	1
343	344	NaN	1
344	345	NaN	1
345	346	NaN	1
346	347	NaN	1
347	348	NaN	1
348	349	NaN	1
349	350	NaN	1
350	351	NaN	1
351	352	NaN	1
352	353	NaN	1
353	354	NaN	1
354	355	NaN	1
355	356	NaN	1
356	357	NaN	1
357	358	NaN	1
358	359	NaN	1
359	360	NaN	1
360	361	NaN	1
361	362	NaN	1
362	363	NaN	1
363	364	NaN	1
364	365	NaN	1
365	366	NaN	1
366	367	NaN	1
367	368	NaN	1
368	369	NaN	1
369	370	NaN	1
370	371	NaN	1
371	372	NaN	1
372	373	NaN	1
373	374	NaN	1
374	375	NaN	1
375	376	NaN	1
376	377	NaN	1
377	378	NaN	1
378	379	NaN	1
379	380	NaN	1
380	381	NaN	1
381	382	NaN	1
382	383	NaN	1
383	384	NaN	1
384	385	NaN	1
385	386	NaN	1
386	387	NaN	1
387	388	NaN	1
388	389	NaN	1
389	390	NaN	1
390	391	NaN	1
391	392	NaN	1
392	393	NaN	1
393	394	NaN	1
394	395	NaN	1
395	396	NaN	1
396	397	NaN	1
397	398	NaN	1
398	399	NaN	1
399	400	NaN	1
400	401	NaN	1
401	402	NaN	1
402	403	NaN	1
403	404	NaN	1
404	405	NaN	1
405	406	NaN	1
406	407	NaN	1
407	408	NaN	1
408	409	NaN	1
409	410	NaN	1
410	411	NaN	1
411	412	NaN	1
412	413	NaN	1
413	414	NaN	1
414	415	NaN	1
415	416	NaN	1
416	417	NaN	1
417	418	NaN	1

Outlier untuk Fitur: Tryglicerides

	id	Tryglicerides	outlier_Tryglicerides
0	1	172.0	1
1	2	88.0	1
2	3	55.0	1
3	4	92.0	1
4	5	72.0	1
5	6	63.0	1
6	7	213.0	1
7	8	189.0	1
8	9	88.0	1
9	10	143.0	1
10	11	79.0	1
11	12	95.0	1
12	13	130.0	1
13	14	NaN	1
14	15	96.0	1
15	16	58.0	1
16	17	128.0	1
17	18	200.0	1
18	19	123.0	1
19	20	135.0	1
20	21	83.0	1
21	22	55.0	1
22	23	191.0	1
23	24	230.0	1
24	25	66.0	1
25	26	166.0	1
26	27	168.0	1
27	28	195.0	1
28	29	86.0	1
29	30	158.0	1
30	31	101.0	1
31	32	158.0	1
32	33	113.0	1
33	34	64.0	1
34	35	151.0	1
35	36	96.0	1
36	37	118.0	1
37	38	87.0	1
38	39	111.0	1
39	40	NaN	1
40	41	NaN	1
41	42	NaN	1
42	43	89.0	1
43	44	50.0	1
44	45	NaN	1
45	46	165.0	1
46	47	71.0	1
47	48	178.0	1
48	49	NaN	1
49	50	73.0	1
50	51	143.0	1
51	52	93.0	1
52	53	NaN	1
53	54	125.0	1
54	55	219.0	1
55	56	319.0	-1
56	57	94.0	1
57	58	118.0	1
58	59	124.0	1
59	60	58.0	1
60	61	188.0	1
61	62	112.0	1
62	63	133.0	1
63	64	188.0	1
64	65	108.0	1
65	66	171.0	1
66	67	185.0	1
67	68	46.0	1
68	69	184.0	1
69	70	NaN	1
70	71	76.0	1
71	72	80.0	1
72	73	56.0	1
73	74	309.0	-1
74	75	598.0	-1
75	76	243.0	1
76	77	91.0	1
77	78	104.0	1
78	79	70.0	1
79	80	91.0	1
80	81	318.0	-1
81	82	272.0	-1
82	83	100.0	1
83	84	74.0	1
84	85	84.0	1
85	86	174.0	1
86	87	72.0	1
87	88	83.0	1
88	89	98.0	1
89	90	155.0	1
90	91	56.0	1
91	92	70.0	1
92	93	68.0	1
93	94	69.0	1
94	95	NaN	1
95	96	NaN	1
96	97	91.0	1
97	98	101.0	1
98	99	118.0	1
99	100	122.0	1
100	101	166.0	1
101	102	84.0	1
102	103	102.0	1
103	104	53.0	1
104	105	102.0	1
105	106	NaN	1
106	107	77.0	1
107	108	84.0	1
108	109	52.0	1
109	110	109.0	1
110	111	78.0	1
111	112	90.0	1
112	113	100.0	1
113	114	78.0	1
114	115	156.0	1
115	116	382.0	-1
116	117	149.0	1
117	118	93.0	1
118	119	114.0	1
119	120	210.0	1
120	121	49.0	1
121	122	85.0	1
122	123	NaN	1
123	124	107.0	1
124	125	137.0	1
125	126	68.0	1
126	127	95.0	1
127	128	NaN	1
128	129	232.0	1
129	130	97.0	1
130	131	104.0	1
131	132	175.0	1
132	133	99.0	1
133	134	105.0	1
134	135	121.0	1
135	136	69.0	1
136	137	152.0	1
137	138	218.0	1
138	139	134.0	1
139	140	146.0	1
140	141	56.0	1
141	142	88.0	1
142	143	103.0	1
143	144	171.0	1
144	145	106.0	1
145	146	NaN	1
146	147	114.0	1
147	148	280.0	-1
148	149	112.0	1
149	150	NaN	1
150	151	174.0	1
151	152	126.0	1
152	153	68.0	1
153	154	75.0	1
154	155	80.0	1
155	156	205.0	1
156	157	206.0	1
157	158	118.0	1
158	159	140.0	1
159	160	119.0	1
160	161	180.0	1
161	162	101.0	1
162	163	68.0	1
163	164	NaN	1
164	165	142.0	1
165	166	108.0	1
166	167	154.0	1
167	168	110.0	1
168	169	137.0	1
169	170	52.0	1
170	171	NaN	1
171	172	126.0	1
172	173	86.0	1
173	174	NaN	1
174	175	168.0	1
175	176	NaN	1
176	177	133.0	1
177	178	NaN	1
178	179	133.0	1
179	180	76.0	1
180	181	106.0	1
181	182	NaN	1
182	183	145.0	1
183	184	140.0	1
184	185	94.0	1
185	186	62.0	1
186	187	137.0	1
187	188	98.0	1
188	189	164.0	1
189	190	NaN	1
190	191	432.0	-1
191	192	101.0	1
192	193	157.0	1
193	194	56.0	1
194	195	90.0	1
195	196	62.0	1
196	197	102.0	1
197	198	90.0	1
198	199	194.0	1
199	200	114.0	1
200	201	67.0	1
201	202	89.0	1
202	203	57.0	1
203	204	58.0	1
204	205	NaN	1
205	206	68.0	1
206	207	NaN	1
207	208	131.0	1
208	209	58.0	1
209	210	90.0	1
210	211	NaN	1
211	212	99.0	1
212	213	55.0	1
213	214	224.0	1
214	215	157.0	1
215	216	NaN	1
216	217	210.0	1
217	218	NaN	1
218	219	85.0	1
219	220	113.0	1
220	221	154.0	1
221	222	135.0	1
222	223	155.0	1
223	224	101.0	1
224	225	135.0	1
225	226	104.0	1
226	227	63.0	1
227	228	74.0	1
228	229	118.0	1
229	230	44.0	1
230	231	90.0	1
231	232	87.0	1
232	233	87.0	1
233	234	177.0	1
234	235	111.0	1
235	236	106.0	1
236	237	108.0	1
237	238	81.0	1
238	239	99.0	1
239	240	139.0	1
240	241	322.0	-1
241	242	152.0	1
242	243	139.0	1
243	244	231.0	1
244	245	214.0	1
245	246	33.0	1
246	247	139.0	1
247	248	146.0	1
248	249	71.0	1
249	250	85.0	1
250	251	120.0	1
251	252	90.0	1
252	253	154.0	1
253	254	91.0	1
254	255	118.0	1
255	256	108.0	1
256	257	146.0	1
257	258	55.0	1
258	259	126.0	1
259	260	128.0	1
260	261	NaN	1
261	262	209.0	1
262	263	77.0	1
263	264	130.0	1
264	265	146.0	1
265	266	260.0	-1
266	267	91.0	1
267	268	179.0	1
268	269	44.0	1
269	270	117.0	1
270	271	177.0	1
271	272	85.0	1
272	273	116.0	1
273	274	NaN	1
274	275	114.0	1
275	276	108.0	1
276	277	111.0	1
277	278	193.0	1
278	279	56.0	1
279	280	140.0	1
280	281	229.0	1
281	282	169.0	1
282	283	113.0	1
283	284	195.0	1
284	285	80.0	1
285	286	118.0	1
286	287	151.0	1
287	288	242.0	1
288	289	242.0	1
289	290	69.0	1
290	291	84.0	1
291	292	153.0	1
292	293	78.0	1
293	294	133.0	1
294	295	194.0	1
295	296	95.0	1
296	297	91.0	1
297	298	93.0	1
298	299	127.0	1
299	300	NaN	1
300	301	103.0	1
301	302	104.0	1
302	303	55.0	1
303	304	75.0	1
304	305	144.0	1
305	306	64.0	1
306	307	59.0	1
307	308	113.0	1
308	309	82.0	1
309	310	100.0	1
310	311	88.0	1
311	312	149.0	1
312	313	NaN	1
313	314	NaN	1
314	315	NaN	1
315	316	NaN	1
316	317	NaN	1
317	318	NaN	1
318	319	NaN	1
319	320	NaN	1
320	321	NaN	1
321	322	NaN	1
322	323	NaN	1
323	324	NaN	1
324	325	NaN	1
325	326	NaN	1
326	327	NaN	1
327	328	NaN	1
328	329	NaN	1
329	330	NaN	1
330	331	NaN	1
331	332	NaN	1
332	333	NaN	1
333	334	NaN	1
334	335	NaN	1
335	336	NaN	1
336	337	NaN	1
337	338	NaN	1
338	339	NaN	1
339	340	NaN	1
340	341	NaN	1
341	342	NaN	1
342	343	NaN	1
343	344	NaN	1
344	345	NaN	1
345	346	NaN	1
346	347	NaN	1
347	348	NaN	1
348	349	NaN	1
349	350	NaN	1
350	351	NaN	1
351	352	NaN	1
352	353	NaN	1
353	354	NaN	1
354	355	NaN	1
355	356	NaN	1
356	357	NaN	1
357	358	NaN	1
358	359	NaN	1
359	360	NaN	1
360	361	NaN	1
361	362	NaN	1
362	363	NaN	1
363	364	NaN	1
364	365	NaN	1
365	366	NaN	1
366	367	NaN	1
367	368	NaN	1
368	369	NaN	1
369	370	NaN	1
370	371	NaN	1
371	372	NaN	1
372	373	NaN	1
373	374	NaN	1
374	375	NaN	1
375	376	NaN	1
376	377	NaN	1
377	378	NaN	1
378	379	NaN	1
379	380	NaN	1
380	381	NaN	1
381	382	NaN	1
382	383	NaN	1
383	384	NaN	1
384	385	NaN	1
385	386	NaN	1
386	387	NaN	1
387	388	NaN	1
388	389	NaN	1
389	390	NaN	1
390	391	NaN	1
391	392	NaN	1
392	393	NaN	1
393	394	NaN	1
394	395	NaN	1
395	396	NaN	1
396	397	NaN	1
397	398	NaN	1
398	399	NaN	1
399	400	NaN	1
400	401	NaN	1
401	402	NaN	1
402	403	NaN	1
403	404	NaN	1
404	405	NaN	1
405	406	NaN	1
406	407	NaN	1
407	408	NaN	1
408	409	NaN	1
409	410	NaN	1
410	411	NaN	1
411	412	NaN	1
412	413	NaN	1
413	414	NaN	1
414	415	NaN	1
415	416	NaN	1
416	417	NaN	1
417	418	NaN	1

Outlier untuk Fitur: Platelets

	id	Platelets	outlier_Platelets
0	1	190.0	1
1	2	221.0	1
2	3	151.0	1
3	4	183.0	1
4	5	136.0	1
5	6	NaN	1
6	7	204.0	1
7	8	373.0	1
8	9	251.0	1
9	10	302.0	1
10	11	258.0	1
11	12	71.0	1
12	13	244.0	1
13	14	156.0	1
14	15	295.0	1
15	16	198.0	1
16	17	224.0	1
17	18	283.0	1
18	19	209.0	1
19	20	322.0	1
20	21	336.0	1
21	22	173.0	1
22	23	214.0	1
23	24	70.0	1
24	25	324.0	1
25	26	421.0	1
26	27	80.0	1
27	28	144.0	1
28	29	390.0	1
29	30	124.0	1
30	31	195.0	1
31	32	286.0	1
32	33	180.0	1
33	34	273.0	1
34	35	431.0	1
35	36	311.0	1
36	37	102.0	1
37	38	234.0	1
38	39	563.0	-1
39	40	358.0	1
40	41	226.0	1
41	42	344.0	1
42	43	203.0	1
43	44	199.0	1
44	45	474.0	1
45	46	518.0	-1
46	47	356.0	1
47	48	214.0	1
48	49	233.0	1
49	50	128.0	1
50	51	273.0	1
51	52	362.0	1
52	53	214.0	1
53	54	254.0	1
54	55	213.0	1
55	56	365.0	1
56	57	216.0	1
57	58	NaN	1
58	59	321.0	1
59	60	228.0	1
60	61	211.0	1
61	62	329.0	1
62	63	165.0	1
63	64	178.0	1
64	65	430.0	1
65	66	123.0	1
66	67	261.0	1
67	68	203.0	1
68	69	227.0	1
69	70	265.0	1
70	71	410.0	1
71	72	225.0	1
72	73	265.0	1
73	74	278.0	1
74	75	268.0	1
75	76	165.0	1
76	77	132.0	1
77	78	236.0	1
78	79	426.0	1
79	80	360.0	1
80	81	385.0	1
81	82	412.0	1
82	83	81.0	1
83	84	181.0	1
84	85	225.0	1
85	86	181.0	1
86	87	447.0	1
87	88	442.0	1
88	89	200.0	1
89	90	337.0	1
90	91	430.0	1
91	92	145.0	1
92	93	380.0	1
93	94	188.0	1
94	95	401.0	1
95	96	338.0	1
96	97	344.0	1
97	98	312.0	1
98	99	172.0	1
99	100	119.0	1
100	101	327.0	1
101	102	128.0	1
102	103	110.0	1
103	104	349.0	1
104	105	348.0	1
105	106	137.0	1
106	107	316.0	1
107	108	334.0	1
108	109	271.0	1
109	110	141.0	1
110	111	467.0	1
111	112	136.0	1
112	113	266.0	1
113	114	268.0	1
114	115	307.0	1
115	116	438.0	1
116	117	354.0	1
117	118	207.0	1
118	119	306.0	1
119	120	344.0	1
120	121	213.0	1
121	122	256.0	1
122	123	104.0	1
123	124	182.0	1
124	125	238.0	1
125	126	166.0	1
126	127	453.0	1
127	128	123.0	1
128	129	NaN	1
129	130	418.0	1
130	131	121.0	1
131	132	181.0	1
132	133	165.0	1
133	134	427.0	1
134	135	445.0	1
135	136	206.0	1
136	137	344.0	1
137	138	252.0	1
138	139	142.0	1
139	140	318.0	1
140	141	336.0	1
141	142	283.0	1
142	143	277.0	1
143	144	335.0	1
144	145	253.0	1
145	146	239.0	1
146	147	213.0	1
147	148	330.0	1
148	149	140.0	1
149	150	233.0	1
150	151	301.0	1
151	152	339.0	1
152	153	270.0	1
153	154	108.0	1
154	155	311.0	1
155	156	151.0	1
156	157	487.0	1
157	158	313.0	1
158	159	207.0	1
159	160	224.0	1
160	161	269.0	1
161	162	160.0	1
162	163	358.0	1
163	164	88.0	1
164	165	212.0	1
165	166	213.0	1
166	167	238.0	1
167	168	NaN	1
168	169	295.0	1
169	170	263.0	1
170	171	361.0	1
171	172	217.0	1
172	173	493.0	1
173	174	311.0	1
174	175	340.0	1
175	176	149.0	1
176	177	277.0	1
177	178	325.0	1
178	179	278.0	1
179	180	175.0	1
180	181	79.0	1
181	182	539.0	-1
182	183	445.0	1
183	184	471.0	1
184	185	192.0	1
185	186	200.0	1
186	187	268.0	1
187	188	164.0	1
188	189	256.0	1
189	190	327.0	1
190	191	399.0	1
191	192	344.0	1
192	193	382.0	1
193	194	336.0	1
194	195	129.0	1
195	196	117.0	1
196	197	201.0	1
197	198	381.0	1
198	199	328.0	1
199	200	332.0	1
200	201	228.0	1
201	202	514.0	-1
202	203	166.0	1
203	204	281.0	1
204	205	126.0	1
205	206	240.0	1
206	207	259.0	1
207	208	156.0	1
208	209	309.0	1
209	210	298.0	1
210	211	114.0	1
211	212	223.0	1
212	213	356.0	1
213	214	236.0	1
214	215	216.0	1
215	216	146.0	1
216	217	298.0	1
217	218	423.0	1
218	219	176.0	1
219	220	228.0	1
220	221	269.0	1
221	222	240.0	1
222	223	210.0	1
223	224	309.0	1
224	225	251.0	1
225	226	231.0	1
226	227	394.0	1
227	228	165.0	1
228	229	139.0	1
229	230	95.0	1
230	231	190.0	1
231	232	265.0	1
232	233	284.0	1
233	234	322.0	1
234	235	338.0	1
235	236	341.0	1
236	237	181.0	1
237	238	295.0	1
238	239	319.0	1
239	240	326.0	1
240	241	282.0	1
241	242	277.0	1
242	243	233.0	1
243	244	270.0	1
244	245	305.0	1
245	246	185.0	1
246	247	297.0	1
247	248	371.0	1
248	249	195.0	1
249	250	303.0	1
250	251	249.0	1
251	252	317.0	1
252	253	97.0	1
253	254	264.0	1
254	255	156.0	1
255	256	242.0	1
256	257	227.0	1
257	258	271.0	1
258	259	221.0	1
259	260	248.0	1
260	261	375.0	1
261	262	231.0	1
262	263	248.0	1
263	264	318.0	1
264	265	296.0	1
265	266	279.0	1
266	267	195.0	1
267	268	149.0	1
268	269	151.0	1
269	270	228.0	1
270	271	289.0	1
271	272	153.0	1
272	273	202.0	1
273	274	372.0	1
274	275	309.0	1
275	276	95.0	1
276	277	394.0	1
277	278	215.0	1
278	279	280.0	1
279	280	284.0	1
280	281	62.0	1
281	282	255.0	1
282	283	422.0	1
283	284	251.0	1
284	285	252.0	1
285	286	143.0	1
286	287	258.0	1
287	288	298.0	1
288	289	269.0	1
289	290	283.0	1
290	291	304.0	1
291	292	291.0	1
292	293	122.0	1
293	294	299.0	1
294	295	306.0	1
295	296	293.0	1
296	297	217.0	1
297	298	243.0	1
298	299	213.0	1
299	300	206.0	1
300	301	295.0	1
301	302	268.0	1
302	303	248.0	1
303	304	246.0	1
304	305	275.0	1
305	306	227.0	1
306	307	344.0	1
307	308	288.0	1
308	309	231.0	1
309	310	234.0	1
310	311	335.0	1
311	312	200.0	1
312	313	378.0	1
313	314	331.0	1
314	315	226.0	1
315	316	NaN	1
316	317	273.0	1
317	318	306.0	1
318	319	260.0	1
319	320	226.0	1
320	321	259.0	1
321	322	139.0	1
322	323	130.0	1
323	324	234.0	1
324	325	NaN	1
325	326	246.0	1
326	327	NaN	1
327	328	NaN	1
328	329	371.0	1
329	330	325.0	1
330	331	142.0	1
331	332	114.0	1
332	333	NaN	1
333	334	721.0	-1
334	335	280.0	1
335	336	155.0	1
336	337	141.0	1
337	338	475.0	1
338	339	269.0	1
339	340	141.0	1
340	341	286.0	1
341	342	244.0	1
342	343	NaN	1
343	344	209.0	1
344	345	388.0	1
345	346	160.0	1
346	347	NaN	1
347	348	191.0	1
348	349	249.0	1
349	350	200.0	1
350	351	150.0	1
351	352	330.0	1
352	353	167.0	1
353	354	125.0	1
354	355	145.0	1
355	356	171.0	1
356	357	109.0	1
357	358	314.0	1
358	359	419.0	1
359	360	183.0	1
360	361	517.0	-1
361	362	432.0	1
362	363	150.0	1
363	364	142.0	1
364	365	224.0	1
365	366	223.0	1
366	367	166.0	1
367	368	388.0	1
368	369	102.0	1
369	370	384.0	1
370	371	265.0	1
371	372	248.0	1
372	373	190.0	1
373	374	274.0	1
374	375	231.0	1
375	376	292.0	1
376	377	253.0	1
377	378	225.0	1
378	379	224.0	1
379	380	418.0	1
380	381	92.0	1
381	382	190.0	1
382	383	76.0	1
383	384	243.0	1
384	385	209.0	1
385	386	166.0	1
386	387	233.0	1
387	388	117.0	1
388	389	165.0	1
389	390	139.0	1
390	391	120.0	1
391	392	173.0	1
392	393	319.0	1
393	394	80.0	1
394	395	402.0	1
395	396	277.0	1
396	397	425.0	1
397	398	189.0	1
398	399	193.0	1
399	400	258.0	1
400	401	120.0	1
401	402	256.0	1
402	403	256.0	1
403	404	337.0	1
404	405	340.0	1
405	406	219.0	1
406	407	220.0	1
407	408	162.0	1
408	409	214.0	1
409	410	255.0	1
410	411	286.0	1
411	412	244.0	1
412	413	312.0	1
413	414	174.0	1
414	415	180.0	1
415	416	143.0	1
416	417	269.0	1
417	418	350.0	1

Outlier untuk Fitur: Prothrombin

	id	Prothrombin	outlier_Prothrombin
0	1	12.2	1
1	2	10.6	1
2	3	12.0	1
3	4	10.3	1
4	5	10.9	1
5	6	11.0	1
6	7	9.7	1
7	8	11.0	1
8	9	11.0	1
9	10	11.5	1
10	11	12.0	1
11	12	13.6	-1
12	13	10.6	1
13	14	11.0	1
14	15	11.0	1
15	16	10.8	1
16	17	10.5	1
17	18	12.4	1
18	19	11.0	1
19	20	13.0	-1
20	21	11.4	1
21	22	11.6	1
22	23	11.7	1
23	24	9.9	1
24	25	11.3	1
25	26	9.9	1
26	27	12.0	1
27	28	13.0	-1
28	29	10.6	1
29	30	11.0	1
30	31	10.3	1
31	32	10.6	1
32	33	12.0	1
33	34	10.5	1
34	35	10.6	1
35	36	10.6	1
36	37	12.0	1
37	38	11.0	1
38	39	10.6	1
39	40	11.0	1
40	41	11.7	1
41	42	11.0	1
42	43	10.6	1
43	44	11.7	1
44	45	10.9	1
45	46	12.7	1
46	47	9.8	1
47	48	11.0	1
48	49	11.0	1
49	50	10.6	1
50	51	10.6	1
51	52	10.6	1
52	53	11.0	1
53	54	11.0	1
54	55	11.0	1
55	56	10.6	1
56	57	12.4	1
57	58	10.6	1
58	59	10.6	1
59	60	10.3	1
60	61	13.0	-1
61	62	13.2	-1
62	63	11.6	1
63	64	11.0	1
64	65	10.0	1
65	66	11.0	1
66	67	10.0	1
67	68	10.6	1
68	69	12.4	1
69	70	10.6	1
70	71	11.5	1
71	72	10.0	1
72	73	11.0	1
73	74	11.0	1
74	75	11.5	1
75	76	11.6	1
76	77	12.1	1
77	78	10.6	1
78	79	10.9	1
79	80	11.2	1
80	81	11.7	1
81	82	11.1	1
82	83	12.9	-1
83	84	11.2	1
84	85	11.5	1
85	86	10.9	1
86	87	10.7	1
87	88	12.0	1
88	89	11.4	1
89	90	11.0	1
90	91	11.9	1
91	92	12.2	1
92	93	11.1	1
93	94	11.8	1
94	95	11.7	1
95	96	10.4	1
96	97	11.4	1
97	98	10.2	1
98	99	10.2	1
99	100	12.0	1
100	101	10.4	1
101	102	10.1	1
102	103	11.1	1
103	104	11.1	1
104	105	10.3	1
105	106	10.6	1
106	107	17.1	-1
107	108	10.3	1
108	109	10.6	1
109	110	10.9	1
110	111	10.7	1
111	112	11.8	1
112	113	11.1	1
113	114	11.7	1
114	115	10.3	1
115	116	9.9	1
116	117	11.0	1
117	118	10.2	1
118	119	9.5	1
119	120	10.6	1
120	121	13.2	-1
121	122	10.7	1
122	123	13.0	-1
123	124	10.8	1
124	125	10.0	1
125	126	11.1	1
126	127	10.0	1
127	128	12.6	1
128	129	9.7	1
129	130	11.5	1
130	131	13.2	-1
131	132	9.8	1
132	133	10.1	1
133	134	10.7	1
134	135	11.0	1
135	136	9.8	1
136	137	10.1	1
137	138	10.5	1
138	139	11.6	1
139	140	10.0	1
140	141	10.6	1
141	142	9.9	1
142	143	11.0	1
143	144	10.0	1
144	145	11.4	1
145	146	9.4	1
146	147	10.7	1
147	148	9.8	1
148	149	9.9	1
149	150	10.0	1
150	151	9.4	1
151	152	10.9	1
152	153	11.1	1
153	154	14.1	-1
154	155	11.2	1
155	156	11.5	1
156	157	10.0	1
157	158	11.2	1
158	159	10.1	1
159	160	10.5	1
160	161	9.6	1
161	162	12.0	1
162	163	9.9	1
163	164	13.3	-1
164	165	11.3	1
165	166	9.5	1
166	167	10.3	1
167	168	9.2	1
168	169	10.1	1
169	170	9.0	1
170	171	10.1	1
171	172	9.8	1
172	173	9.8	1
173	174	9.7	1
174	175	10.1	1
175	176	10.1	1
176	177	10.4	1
177	178	10.2	1
178	179	9.9	1
179	180	10.4	1
180	181	10.3	1
181	182	9.9	1
182	183	10.1	1
183	184	9.8	1
184	185	10.5	1
185	186	12.7	1
186	187	11.5	1
187	188	11.0	1
188	189	9.9	1
189	190	10.2	1
190	191	15.2	-1
191	192	9.8	1
192	193	10.4	1
193	194	9.1	1
194	195	11.5	1
195	196	11.6	1
196	197	10.1	1
197	198	9.6	1
198	199	10.2	1
199	200	9.9	1
200	201	10.8	1
201	202	10.0	1
202	203	9.9	1
203	204	10.2	1
204	205	10.3	1
205	206	11.0	1
206	207	10.1	1
207	208	10.0	1
208	209	9.5	1
209	210	10.0	1
210	211	10.3	1
211	212	9.9	1
212	213	10.2	1
213	214	9.9	1
214	215	10.7	1
215	216	10.4	1
216	217	10.8	1
217	218	10.1	1
218	219	9.6	1
219	220	10.6	1
220	221	9.7	1
221	222	12.4	1
222	223	11.0	1
223	224	9.7	1
224	225	10.1	1
225	226	9.6	1
226	227	9.7	1
227	228	9.6	1
228	229	11.4	1
229	230	11.5	1
230	231	10.7	1
231	232	10.6	1
232	233	9.8	1
233	234	11.2	1
234	235	11.9	1
235	236	9.7	1
236	237	10.1	1
237	238	9.8	1
238	239	11.2	1
239	240	10.1	1
240	241	9.8	1
241	242	9.9	1
242	243	10.0	1
243	244	9.6	1
244	245	9.6	1
245	246	10.1	1
246	247	10.0	1
247	248	10.0	1
248	249	10.6	1
249	250	10.9	1
250	251	9.9	1
251	252	10.0	1
252	253	11.2	1
253	254	10.0	1
254	255	10.3	1
255	256	9.7	1
256	257	10.6	1
257	258	9.6	1
258	259	9.8	1
259	260	10.9	1
260	261	9.5	1
261	262	9.5	1
262	263	11.4	1
263	264	11.2	1
264	265	10.0	1
265	266	10.2	1
266	267	12.1	1
267	268	11.0	1
268	269	10.1	1
269	270	10.2	1
270	271	9.7	1
271	272	9.8	1
272	273	9.6	1
273	274	9.6	1
274	275	9.5	1
275	276	10.7	1
276	277	9.8	1
277	278	9.9	1
278	279	9.8	1
279	280	9.6	1
280	281	12.9	-1
281	282	9.5	1
282	283	9.6	1
283	284	9.5	1
284	285	10.0	1
285	286	9.8	1
286	287	10.1	1
287	288	9.6	1
288	289	9.8	1
289	290	9.8	1
290	291	9.9	1
291	292	11.2	1
292	293	12.3	1
293	294	10.9	1
294	295	10.3	1
295	296	10.9	1
296	297	11.3	1
297	298	10.2	1
298	299	10.8	1
299	300	12.3	1
300	301	10.5	1
301	302	10.6	1
302	303	10.6	1
303	304	10.8	1
304	305	10.6	1
305	306	10.7	1
306	307	10.5	1
307	308	10.4	1
308	309	10.8	1
309	310	10.2	1
310	311	10.5	1
311	312	10.8	1
312	313	11.0	1
313	314	12.1	1
314	315	9.8	1
315	316	11.3	1
316	317	10.0	1
317	318	9.5	1
318	319	10.4	1
319	320	10.5	1
320	321	10.9	1
321	322	10.5	1
322	323	11.2	1
323	324	11.5	1
324	325	18.0	-1
325	326	10.3	1
326	327	11.2	1
327	328	12.1	1
328	329	10.1	1
329	330	10.3	1
330	331	13.6	-1
331	332	11.8	1
332	333	10.6	1
333	334	11.8	1
334	335	10.1	1
335	336	10.1	1
336	337	10.0	1
337	338	13.8	-1
338	339	10.6	1
339	340	11.2	1
340	341	13.1	-1
341	342	10.5	1
342	343	12.2	1
343	344	10.6	1
344	345	10.1	1
345	346	11.0	1
346	347	9.3	1
347	348	12.3	1
348	349	10.3	1
349	350	9.0	1
350	351	11.1	1
351	352	9.9	1
352	353	10.6	1
353	354	9.6	1
354	355	10.4	1
355	356	11.1	1
356	357	10.4	1
357	358	10.3	1
358	359	NaN	1
359	360	10.4	1
360	361	10.4	1
361	362	9.7	1
362	363	9.9	1
363	364	11.5	1
364	365	10.0	1
365	366	10.7	1
366	367	9.8	1
367	368	NaN	1
368	369	10.8	1
369	370	10.0	1
370	371	11.1	1
371	372	10.3	1
372	373	9.8	1
373	374	10.6	1
374	375	10.5	1
375	376	10.2	1
376	377	9.9	1
377	378	9.9	1
378	379	11.1	1
379	380	10.5	1
380	381	11.0	1
381	382	11.6	1
382	383	10.8	1
383	384	9.7	1
384	385	10.6	1
385	386	9.8	1
386	387	9.9	1
387	388	10.9	1
388	389	10.0	1
389	390	10.0	1
390	391	11.0	1
391	392	10.9	1
392	393	9.9	1
393	394	12.1	1
394	395	11.0	1
395	396	10.2	1
396	397	10.2	1
397	398	10.9	1
398	399	10.4	1
399	400	10.6	1
400	401	11.1	1
401	402	10.6	1
402	403	10.8	1
403	404	10.4	1
404	405	10.6	1
405	406	11.5	1
406	407	10.8	1
407	408	10.7	1
408	409	10.8	1
409	410	10.8	1
410	411	10.6	1
411	412	10.8	1
412	413	10.8	1
413	414	10.9	1
414	415	11.2	1
415	416	9.9	1
416	417	10.4	1
417	418	10.6	1

Outlier untuk Fitur: Stage

	id	Stage	outlier_Stage
0	1	4.0	1
1	2	3.0	1
2	3	4.0	1
3	4	4.0	1
4	5	3.0	1
5	6	3.0	1
6	7	3.0	1
7	8	3.0	1
8	9	2.0	1
9	10	4.0	1
10	11	4.0	1
11	12	4.0	1
12	13	3.0	1
13	14	4.0	1
14	15	3.0	1
15	16	3.0	1
16	17	4.0	1
17	18	4.0	1
18	19	3.0	1
19	20	4.0	1
20	21	4.0	1
21	22	4.0	1
22	23	4.0	1
23	24	2.0	1
24	25	2.0	1
25	26	3.0	1
26	27	4.0	1
27	28	4.0	1
28	29	2.0	1
29	30	4.0	1
30	31	2.0	1
31	32	4.0	1
32	33	3.0	1
33	34	2.0	1
34	35	3.0	1
35	36	2.0	1
36	37	4.0	1
37	38	4.0	1
38	39	4.0	1
39	40	4.0	1
40	41	4.0	1
41	42	4.0	1
42	43	2.0	1
43	44	3.0	1
44	45	2.0	1
45	46	3.0	1
46	47	3.0	1
47	48	3.0	1
48	49	4.0	1
49	50	4.0	1
50	51	2.0	1
51	52	1.0	1
52	53	4.0	1
53	54	4.0	1
54	55	3.0	1
55	56	2.0	1
56	57	3.0	1
57	58	1.0	1
58	59	3.0	1
59	60	3.0	1
60	61	1.0	1
61	62	4.0	1
62	63	3.0	1
63	64	3.0	1
64	65	1.0	1
65	66	3.0	1
66	67	3.0	1
67	68	3.0	1
68	69	3.0	1
69	70	2.0	1
70	71	4.0	1
71	72	3.0	1
72	73	1.0	1
73	74	4.0	1
74	75	4.0	1
75	76	4.0	1
76	77	3.0	1
77	78	4.0	1
78	79	3.0	1
79	80	4.0	1
80	81	4.0	1
81	82	3.0	1
82	83	4.0	1
83	84	3.0	1
84	85	4.0	1
85	86	3.0	1
86	87	3.0	1
87	88	3.0	1
88	89	2.0	1
89	90	2.0	1
90	91	4.0	1
91	92	4.0	1
92	93	2.0	1
93	94	4.0	1
94	95	2.0	1
95	96	3.0	1
96	97	3.0	1
97	98	1.0	1
98	99	2.0	1
99	100	4.0	1
100	101	3.0	1
101	102	1.0	1
102	103	4.0	1
103	104	2.0	1
104	105	3.0	1
105	106	2.0	1
106	107	1.0	1
107	108	2.0	1
108	109	3.0	1
109	110	3.0	1
110	111	3.0	1
111	112	4.0	1
112	113	4.0	1
113	114	3.0	1
114	115	3.0	1
115	116	3.0	1
116	117	4.0	1
117	118	3.0	1
118	119	3.0	1
119	120	3.0	1
120	121	4.0	1
121	122	3.0	1
122	123	4.0	1
123	124	4.0	1
124	125	4.0	1
125	126	4.0	1
126	127	2.0	1
127	128	4.0	1
128	129	3.0	1
129	130	3.0	1
130	131	4.0	1
131	132	3.0	1
132	133	4.0	1
133	134	2.0	1
134	135	2.0	1
135	136	2.0	1
136	137	2.0	1
137	138	3.0	1
138	139	4.0	1
139	140	3.0	1
140	141	2.0	1
141	142	2.0	1
142	143	4.0	1
143	144	3.0	1
144	145	3.0	1
145	146	3.0	1
146	147	2.0	1
147	148	3.0	1
148	149	4.0	1
149	150	1.0	1
150	151	2.0	1
151	152	3.0	1
152	153	1.0	1
153	154	3.0	1
154	155	4.0	1
155	156	2.0	1
156	157	2.0	1
157	158	2.0	1
158	159	3.0	1
159	160	3.0	1
160	161	2.0	1
161	162	4.0	1
162	163	3.0	1
163	164	4.0	1
164	165	4.0	1
165	166	2.0	1
166	167	4.0	1
167	168	2.0	1
168	169	3.0	1
169	170	3.0	1
170	171	3.0	1
171	172	3.0	1
172	173	2.0	1
173	174	1.0	1
174	175	3.0	1
175	176	4.0	1
176	177	2.0	1
177	178	4.0	1
178	179	4.0	1
179	180	3.0	1
180	181	4.0	1
181	182	2.0	1
182	183	2.0	1
183	184	3.0	1
184	185	3.0	1
185	186	3.0	1
186	187	3.0	1
187	188	4.0	1
188	189	3.0	1
189	190	2.0	1
190	191	4.0	1
191	192	4.0	1
192	193	4.0	1
193	194	2.0	1
194	195	4.0	1
195	196	4.0	1
196	197	2.0	1
197	198	2.0	1
198	199	3.0	1
199	200	3.0	1
200	201	4.0	1
201	202	2.0	1
202	203	2.0	1
203	204	3.0	1
204	205	3.0	1
205	206	1.0	1
206	207	4.0	1
207	208	4.0	1
208	209	2.0	1
209	210	2.0	1
210	211	3.0	1
211	212	3.0	1
212	213	3.0	1
213	214	3.0	1
214	215	3.0	1
215	216	3.0	1
216	217	4.0	1
217	218	1.0	1
218	219	3.0	1
219	220	2.0	1
220	221	4.0	1
221	222	3.0	1
222	223	4.0	1
223	224	3.0	1
224	225	2.0	1
225	226	3.0	1
226	227	2.0	1
227	228	3.0	1
228	229	4.0	1
229	230	4.0	1
230	231	4.0	1
231	232	3.0	1
232	233	4.0	1
233	234	2.0	1
234	235	3.0	1
235	236	3.0	1
236	237	3.0	1
237	238	2.0	1
238	239	4.0	1
239	240	3.0	1
240	241	4.0	1
241	242	3.0	1
242	243	4.0	1
243	244	3.0	1
244	245	3.0	1
245	246	4.0	1
246	247	3.0	1
247	248	3.0	1
248	249	4.0	1
249	250	4.0	1
250	251	2.0	1
251	252	4.0	1
252	253	4.0	1
253	254	3.0	1
254	255	3.0	1
255	256	3.0	1
256	257	2.0	1
257	258	1.0	1
258	259	3.0	1
259	260	4.0	1
260	261	3.0	1
261	262	3.0	1
262	263	4.0	1
263	264	3.0	1
264	265	4.0	1
265	266	3.0	1
266	267	4.0	1
267	268	4.0	1
268	269	2.0	1
269	270	3.0	1
270	271	3.0	1
271	272	1.0	1
272	273	3.0	1
273	274	4.0	1
274	275	4.0	1
275	276	2.0	1
276	277	3.0	1
277	278	4.0	1
278	279	2.0	1
279	280	3.0	1
280	281	4.0	1
281	282	4.0	1
282	283	4.0	1
283	284	3.0	1
284	285	1.0	1
285	286	3.0	1
286	287	4.0	1
287	288	2.0	1
288	289	2.0	1
289	290	3.0	1
290	291	4.0	1
291	292	3.0	1
292	293	4.0	1
293	294	4.0	1
294	295	3.0	1
295	296	4.0	1
296	297	4.0	1
297	298	3.0	1
298	299	3.0	1
299	300	4.0	1
300	301	4.0	1
301	302	2.0	1
302	303	4.0	1
303	304	3.0	1
304	305	3.0	1
305	306	2.0	1
306	307	2.0	1
307	308	2.0	1
308	309	2.0	1
309	310	2.0	1
310	311	2.0	1
311	312	2.0	1
312	313	NaN	1
313	314	4.0	1
314	315	4.0	1
315	316	4.0	1
316	317	NaN	1
317	318	2.0	1
318	319	NaN	1
319	320	3.0	1
320	321	4.0	1
321	322	NaN	1
322	323	2.0	1
323	324	2.0	1
324	325	2.0	1
325	326	3.0	1
326	327	2.0	1
327	328	2.0	1
328	329	4.0	1
329	330	2.0	1
330	331	4.0	1
331	332	4.0	1
332	333	4.0	1
333	334	NaN	1
334	335	2.0	1
335	336	4.0	1
336	337	NaN	1
337	338	2.0	1
338	339	2.0	1
339	340	2.0	1
340	341	4.0	1
341	342	3.0	1
342	343	2.0	1
343	344	3.0	1
344	345	2.0	1
345	346	4.0	1
346	347	2.0	1
347	348	2.0	1
348	349	2.0	1
349	350	3.0	1
350	351	4.0	1
351	352	1.0	1
352	353	4.0	1
353	354	2.0	1
354	355	3.0	1
355	356	4.0	1
356	357	4.0	1
357	358	3.0	1
358	359	1.0	1
359	360	4.0	1
360	361	4.0	1
361	362	2.0	1
362	363	3.0	1
363	364	4.0	1
364	365	3.0	1
365	366	3.0	1
366	367	3.0	1
367	368	4.0	1
368	369	4.0	1
369	370	3.0	1
370	371	1.0	1
371	372	2.0	1
372	373	2.0	1
373	374	3.0	1
374	375	3.0	1
375	376	3.0	1
376	377	3.0	1
377	378	2.0	1
378	379	4.0	1
379	380	3.0	1
380	381	4.0	1
381	382	4.0	1
382	383	4.0	1
383	384	1.0	1
384	385	3.0	1
385	386	3.0	1
386	387	3.0	1
387	388	4.0	1
388	389	4.0	1
389	390	3.0	1
390	391	2.0	1
391	392	3.0	1
392	393	4.0	1
393	394	4.0	1
394	395	1.0	1
395	396	2.0	1
396	397	4.0	1
397	398	4.0	1
398	399	2.0	1
399	400	2.0	1
400	401	4.0	1
401	402	3.0	1
402	403	4.0	1
403	404	3.0	1
404	405	3.0	1
405	406	4.0	1
406	407	3.0	1
407	408	3.0	1
408	409	3.0	1
409	410	3.0	1
410	411	3.0	1
411	412	3.0	1
412	413	3.0	1
413	414	3.0	1
414	415	4.0	1
415	416	3.0	1
416	417	3.0	1
417	418	4.0	1

Data Outlier

from IPython.display import display, HTML

# Salin data
data_outlier = data.copy()
data_outlier['id'] = data_outlier.index + 1

# Loop per fitur numerik
for col in numeric_cols:
    # Hitung batas IQR
    Q1 = data_outlier[col].quantile(0.25)
    Q3 = data_outlier[col].quantile(0.75)
    IQR = Q3 - Q1
    lower = Q1 - 1.5 * IQR
    upper = Q3 + 1.5 * IQR

    # Buat kolom outlier
    outlier_col = f'outlier_{col}'
    data_outlier[outlier_col] = data_outlier[col].apply(
        lambda x: -1 if pd.notnull(x) and (x < lower or x > upper) else 1
    )

    # Filter hanya baris yang outlier (-1)
    sub_table = data_outlier[data_outlier[outlier_col] == -1][['id', col, outlier_col]]

    # Tampilkan hanya jika ada outlier
    if not sub_table.empty:
        display(HTML(f"<h4>Outlier untuk Fitur: {col}</h4>"))
        display(sub_table)

Outlier untuk Fitur: Bilirubin

	id	Bilirubin	outlier_Bilirubin
0	1	14.5	-1
9	10	12.6	-1
17	18	11.4	-1
22	23	17.4	-1
26	27	21.6	-1
27	28	17.2	-1
62	63	22.5	-1
68	69	20.0	-1
73	74	8.4	-1
74	75	17.1	-1
75	76	12.2	-1
80	81	14.4	-1
94	95	17.4	-1
127	128	16.2	-1
129	130	17.4	-1
137	138	7.3	-1
143	144	28.0	-1
155	156	25.5	-1
163	164	8.5	-1
183	184	11.0	-1
186	187	14.0	-1
190	191	24.5	-1
192	193	10.8	-1
216	217	11.4	-1
222	223	14.1	-1
234	235	13.0	-1
242	243	8.0	-1
280	281	17.9	-1
287	288	8.7	-1
291	292	8.6	-1
292	293	8.5	-1
331	332	12.6	-1
337	338	16.0	-1
340	341	9.0	-1
342	343	11.1	-1
343	344	8.9	-1
350	351	15.0	-1
361	362	18.0	-1
367	368	13.8	-1
369	370	16.0	-1
370	371	7.3	-1
375	376	9.5	-1
381	382	14.0	-1
386	387	13.6	-1
397	398	7.3	-1
398	399	8.1	-1

Outlier untuk Fitur: Cholesterol

	id	Cholesterol	outlier_Cholesterol
25	26	1128.0	-1
62	63	932.0	-1
68	69	652.0	-1
74	75	674.0	-1
85	86	1600.0	-1
89	90	660.0	-1
116	117	950.0	-1
118	119	636.0	-1
129	130	1775.0	-1
147	148	1015.0	-1
165	166	1480.0	-1
183	184	674.0	-1
186	187	808.0	-1
190	191	1092.0	-1
192	193	932.0	-1
214	215	1276.0	-1
234	235	1336.0	-1
246	247	1712.0	-1
293	294	1000.0	-1
294	295	646.0	-1

Outlier untuk Fitur: Albumin

	id	Albumin	outlier_Albumin
13	14	2.27	-1
69	70	4.64	-1
222	223	2.43	-1
230	231	1.96	-1
266	267	2.33	-1
280	281	2.10	-1
299	300	2.23	-1
360	361	2.31	-1
385	386	2.38	-1

Outlier untuk Fitur: Copper

	id	Copper	outlier_Copper
17	18	588.0	-1
21	22	464.0	-1
22	23	558.0	-1
47	48	281.0	-1
53	54	262.0	-1
73	74	280.0	-1
79	80	269.0	-1
119	120	444.0	-1
137	138	262.0	-1
147	148	247.0	-1
148	149	290.0	-1
183	184	358.0	-1
186	187	251.0	-1
192	193	267.0	-1
232	233	412.0	-1
240	241	308.0	-1
252	253	380.0	-1

Outlier untuk Fitur: Alk_Phos

	id	Alk_Phos	outlier_Alk_Phos
1	2	7394.8	-1
3	4	6121.8	-1
7	8	4651.2	-1
14	15	9009.8	-1
22	23	6064.8	-1
23	24	5719.0	-1
26	27	3697.4	-1
28	29	5833.0	-1
29	30	7277.0	-1
30	31	9933.2	-1
31	32	7277.0	-1
34	35	12258.8	-1
36	37	6931.2	-1
38	39	9066.8	-1
39	40	11046.6	-1
41	42	8778.0	-1
42	43	5430.2	-1
45	46	11552.0	-1
47	48	10396.8	-1
50	51	4332.0	-1
51	52	5084.4	-1
52	53	6456.2	-1
53	54	5487.2	-1
54	55	10165.0	-1
55	56	13862.4	-1
56	57	11320.2	-1
57	58	5890.0	-1
58	59	7622.8	-1
62	63	5396.0	-1
143	144	3896.0	-1
147	148	3836.0	-1
190	191	3740.0	-1
205	206	5300.0	-1
246	247	3681.0	-1
304	305	5184.0	-1

Outlier untuk Fitur: SGOT

	id	SGOT	outlier_SGOT
17	18	280.55	-1
66	67	328.60	-1
127	128	299.15	-1
165	166	457.25	-1
243	244	272.80	-1
280	281	338.00	-1
304	305	288.00	-1

Outlier untuk Fitur: Tryglicerides

	id	Tryglicerides	outlier_Tryglicerides
55	56	319.0	-1
73	74	309.0	-1
74	75	598.0	-1
80	81	318.0	-1
81	82	272.0	-1
115	116	382.0	-1
147	148	280.0	-1
190	191	432.0	-1
240	241	322.0	-1
265	266	260.0	-1

Outlier untuk Fitur: Platelets

	id	Platelets	outlier_Platelets
38	39	563.0	-1
45	46	518.0	-1
181	182	539.0	-1
201	202	514.0	-1
333	334	721.0	-1
360	361	517.0	-1

Outlier untuk Fitur: Prothrombin

	id	Prothrombin	outlier_Prothrombin
11	12	13.6	-1
19	20	13.0	-1
27	28	13.0	-1
60	61	13.0	-1
61	62	13.2	-1
82	83	12.9	-1
106	107	17.1	-1
120	121	13.2	-1
122	123	13.0	-1
130	131	13.2	-1
153	154	14.1	-1
163	164	13.3	-1
190	191	15.2	-1
280	281	12.9	-1
324	325	18.0	-1
330	331	13.6	-1
337	338	13.8	-1
340	341	13.1	-1

Data yang outlier sudah dihapus

# Salin data
data_no_outlier = data.copy()
data_no_outlier['id'] = data_no_outlier.index + 1

# Loop dan hapus outlier per fitur numerik
for col in numeric_cols:
    Q1 = data_no_outlier[col].quantile(0.25)
    Q3 = data_no_outlier[col].quantile(0.75)
    IQR = Q3 - Q1
    lower = Q1 - 1.5 * IQR
    upper = Q3 + 1.5 * IQR

    # Filter hanya yang bukan outlier
    data_no_outlier = data_no_outlier[
        (data_no_outlier[col].isnull()) |  # biarkan NaN
        ((data_no_outlier[col] >= lower) & (data_no_outlier[col] <= upper))
    ]

# Tampilkan data hasil tanpa outlier
from IPython.display import display
display(data_no_outlier)

	N_Days	Status	Drug	Age	Sex	Ascites	Hepatomegaly	Spiders	Edema	Bilirubin	Cholesterol	Albumin	Copper	Alk_Phos	SGOT	Tryglicerides	Platelets	Prothrombin	Stage	outlier	id
4	1504	CL	Placebo	13918	F	N	Y	Y	N	3.4	279.0	3.53	143.0	671.0	113.15	72.0	136.0	10.9	3.0	1	5
5	2503	D	Placebo	24201	F	N	Y	N	N	0.8	248.0	3.98	50.0	944.0	93.00	63.0	NaN	11.0	3.0	1	6
8	2400	D	D-penicillamine	15526	F	N	N	Y	N	3.2	562.0	3.08	79.0	2276.0	144.15	88.0	251.0	11.0	2.0	1	9
10	3762	D	Placebo	19619	F	N	Y	Y	N	1.4	259.0	4.16	46.0	1104.0	79.05	79.0	258.0	12.0	4.0	1	11
12	3577	C	Placebo	16688	F	N	N	N	N	0.7	281.0	3.85	40.0	1181.0	88.35	130.0	244.0	10.6	3.0	1	13
15	3672	C	Placebo	14772	F	N	N	N	N	0.7	204.0	3.66	28.0	685.0	72.85	58.0	198.0	10.8	3.0	1	16
16	769	D	Placebo	19060	F	N	Y	N	N	2.7	274.0	3.15	159.0	1533.0	117.80	128.0	224.0	10.5	4.0	1	17
18	4232	C	D-penicillamine	18102	F	N	Y	N	S	0.7	235.0	3.56	39.0	1881.0	93.00	123.0	209.0	11.0	3.0	1	19
20	3445	C	Placebo	23445	M	N	Y	Y	N	0.6	252.0	3.83	41.0	843.0	65.10	83.0	336.0	11.4	4.0	1	21
24	4127	C	Placebo	16463	F	N	N	N	N	0.7	298.0	4.10	40.0	661.0	106.95	66.0	324.0	11.3	2.0	1	25
32	3170	D	Placebo	18731	F	N	N	N	N	0.8	210.0	3.19	82.0	1592.0	218.55	113.0	180.0	12.0	3.0	1	33
33	3933	C	D-penicillamine	19015	F	N	N	N	N	0.8	364.0	3.70	37.0	1840.0	170.50	64.0	273.0	10.5	2.0	1	34
35	3611	C	Placebo	20604	F	N	N	N	N	0.3	172.0	3.39	18.0	558.0	71.30	96.0	311.0	10.6	2.0	1	36
37	3244	D	Placebo	13378	F	N	Y	Y	N	3.3	383.0	3.53	102.0	1234.0	137.95	87.0	234.0	11.0	4.0	1	38
40	1350	D	D-penicillamine	12285	F	N	Y	N	N	6.8	NaN	3.26	96.0	1215.0	151.90	NaN	226.0	11.7	4.0	1	41
43	3428	D	Placebo	13727	F	N	Y	Y	Y	3.3	299.0	3.55	131.0	1029.0	119.35	50.0	199.0	11.7	3.0	1	44
44	4025	C	Placebo	15265	F	N	N	N	N	0.6	NaN	3.93	19.0	1826.0	71.30	NaN	474.0	10.9	2.0	1	45
46	2576	C	Placebo	17323	F	N	N	N	N	0.5	316.0	3.65	68.0	1716.0	187.55	71.0	356.0	9.8	3.0	1	47
48	708	D	Placebo	22336	F	N	Y	N	N	0.8	NaN	3.82	58.0	678.0	97.65	NaN	233.0	11.0	4.0	1	49
49	2598	D	D-penicillamine	19544	F	N	Y	N	N	1.1	257.0	3.36	43.0	1080.0	106.95	73.0	128.0	10.6	4.0	1	50
63	1487	D	Placebo	22977	F	N	Y	N	N	2.1	373.0	3.50	52.0	1009.0	150.35	188.0	178.0	11.0	3.0	1	64
64	3992	C	D-penicillamine	14684	F	N	N	N	N	1.2	256.0	3.60	74.0	724.0	141.05	108.0	430.0	10.0	1.0	1	65
65	4191	D	D-penicillamine	16967	M	N	Y	N	N	1.4	427.0	3.70	105.0	1909.0	182.90	171.0	123.0	11.0	3.0	1	66
67	4039	C	D-penicillamine	11912	F	N	N	N	N	0.7	174.0	4.09	58.0	642.0	71.30	46.0	203.0	10.6	3.0	1	68
70	4196	C	Placebo	17841	F	N	Y	N	N	1.2	258.0	3.57	79.0	2201.0	120.90	76.0	410.0	11.5	4.0	1	71
71	4184	C	Placebo	11868	F	N	N	N	N	0.5	320.0	3.54	51.0	1243.0	122.45	80.0	225.0	10.0	3.0	1	72
72	4190	C	Placebo	14060	F	N	N	N	N	0.7	132.0	3.60	17.0	423.0	49.60	56.0	265.0	11.0	1.0	1	73
76	326	D	Placebo	18199	F	N	Y	Y	S	6.6	244.0	3.41	199.0	1819.0	170.50	91.0	132.0	12.1	3.0	1	77
77	1690	D	D-penicillamine	17512	F	N	Y	N	N	6.3	436.0	3.02	75.0	2176.0	170.50	104.0	236.0	10.6	4.0	1	78
78	3707	C	D-penicillamine	16990	F	N	Y	N	N	0.8	315.0	4.24	13.0	1637.0	170.50	70.0	426.0	10.9	3.0	1	79
83	4032	C	Placebo	20392	F	N	N	N	N	0.4	263.0	3.76	29.0	1345.0	137.95	74.0	181.0	11.2	3.0	1	84
84	3358	D	Placebo	17246	F	N	Y	N	N	2.1	262.0	3.48	58.0	2045.0	89.90	84.0	225.0	11.5	4.0	1	85
86	198	D	D-penicillamine	13616	F	N	N	N	N	1.1	345.0	4.40	75.0	1860.0	218.55	72.0	447.0	10.7	3.0	1	87
87	2452	C	Placebo	15119	F	N	N	N	S	0.6	296.0	4.06	37.0	1032.0	80.60	83.0	442.0	12.0	3.0	1	88
88	1741	D	D-penicillamine	19155	F	N	Y	N	N	2.0	408.0	3.65	50.0	1083.0	110.05	98.0	200.0	11.4	2.0	1	89
91	388	D	D-penicillamine	28018	F	Y	N	N	Y	1.4	206.0	3.13	36.0	1626.0	86.80	70.0	145.0	12.2	4.0	1	92
93	750	D	D-penicillamine	19693	F	N	Y	Y	N	3.2	201.0	3.11	178.0	1212.0	159.65	69.0	188.0	11.8	4.0	1	94
95	3850	C	D-penicillamine	17841	F	N	N	N	N	1.0	NaN	3.70	33.0	1258.0	99.20	NaN	338.0	10.4	3.0	1	96
97	3823	C	D-penicillamine	10550	F	N	N	N	N	1.0	239.0	3.77	77.0	1877.0	97.65	101.0	312.0	10.2	1.0	1	98
98	3820	C	Placebo	17703	M	N	N	N	N	1.8	460.0	3.35	148.0	1472.0	108.50	118.0	172.0	10.2	2.0	1	99
99	552	D	Placebo	18799	M	N	Y	N	N	2.3	178.0	3.00	145.0	746.0	178.25	122.0	119.0	12.0	4.0	1	100
100	3581	C	Placebo	16418	F	N	N	N	N	0.9	400.0	3.60	31.0	1689.0	164.30	166.0	327.0	10.4	3.0	1	101
101	3099	C	D-penicillamine	20662	F	N	N	N	N	0.9	248.0	3.97	172.0	646.0	62.00	84.0	128.0	10.1	1.0	1	102
102	110	D	Placebo	17884	F	Y	Y	Y	Y	2.5	188.0	3.67	57.0	1273.0	119.35	102.0	110.0	11.1	4.0	1	103
103	3086	D	D-penicillamine	15712	F	N	N	N	N	1.1	303.0	3.64	20.0	2108.0	128.65	53.0	349.0	11.1	2.0	1	104
104	3092	CL	Placebo	12433	F	N	Y	N	N	1.1	464.0	4.20	38.0	1644.0	151.90	102.0	348.0	10.3	3.0	1	105
105	3222	D	D-penicillamine	25023	F	Y	Y	N	N	2.1	NaN	3.90	50.0	1087.0	103.85	NaN	137.0	10.6	2.0	1	106
107	2583	D	D-penicillamine	18393	F	N	N	N	N	0.4	127.0	3.50	14.0	1062.0	49.60	84.0	334.0	10.3	2.0	1	108
108	2504	C	Placebo	16094	F	N	N	N	N	0.5	120.0	3.61	53.0	804.0	110.05	52.0	271.0	10.6	3.0	1	109
109	2105	D	D-penicillamine	14212	F	N	Y	Y	N	1.9	486.0	3.54	74.0	1052.0	108.50	109.0	141.0	10.9	3.0	1	110
110	2350	CL	D-penicillamine	15031	F	N	N	N	N	5.5	528.0	4.18	77.0	2404.0	172.05	78.0	467.0	10.7	3.0	1	111
111	3445	D	Placebo	20256	F	N	Y	Y	N	2.0	267.0	3.67	89.0	754.0	196.85	90.0	136.0	11.8	4.0	1	112
112	980	D	D-penicillamine	18713	F	N	Y	Y	N	6.7	374.0	3.74	103.0	979.0	128.65	100.0	266.0	11.1	4.0	1	113
114	3422	C	Placebo	15574	F	N	N	Y	N	0.7	303.0	4.19	81.0	1584.0	111.60	156.0	307.0	10.3	3.0	1	115
117	2288	D	D-penicillamine	17844	F	N	Y	N	N	3.5	390.0	3.30	67.0	878.0	137.95	93.0	207.0	10.2	3.0	1	118
121	3297	C	D-penicillamine	20248	F	N	N	N	N	0.6	298.0	4.13	29.0	758.0	65.10	85.0	256.0	10.7	3.0	1	122
123	3069	C	D-penicillamine	19318	M	N	Y	N	N	0.6	251.0	3.90	25.0	681.0	57.35	107.0	182.0	10.8	4.0	1	124
124	2468	CL	Placebo	17233	F	N	Y	N	N	1.3	316.0	3.51	75.0	1162.0	147.25	137.0	238.0	10.0	4.0	1	125
125	824	D	D-penicillamine	19577	F	Y	Y	Y	N	1.2	269.0	3.12	NaN	1441.0	165.85	68.0	166.0	11.1	4.0	1	126
126	3255	C	Placebo	16109	F	N	N	N	N	0.5	268.0	4.08	9.0	1174.0	86.80	95.0	453.0	10.0	2.0	1	127
131	2944	C	D-penicillamine	14812	F	N	N	N	N	1.9	448.0	3.83	60.0	1052.0	127.10	175.0	181.0	9.8	3.0	1	132
132	2796	D	Placebo	22881	M	N	N	N	N	1.5	331.0	3.95	13.0	577.0	128.65	99.0	165.0	10.1	4.0	1	133
133	3149	C	Placebo	15463	F	N	N	N	N	0.7	578.0	3.67	35.0	1353.0	127.10	105.0	427.0	10.7	2.0	1	134
134	3150	C	D-penicillamine	15694	F	N	N	N	N	0.4	263.0	3.57	123.0	836.0	74.40	121.0	445.0	11.0	2.0	1	135
135	3098	C	D-penicillamine	20440	F	N	N	N	N	0.8	263.0	3.35	27.0	1636.0	116.25	69.0	206.0	9.8	2.0	1	136
138	2106	C	Placebo	17080	F	N	Y	N	N	1.1	328.0	3.31	159.0	1260.0	94.55	134.0	142.0	11.6	4.0	1	139
139	3059	C	D-penicillamine	19751	F	N	Y	N	N	1.1	290.0	4.09	38.0	2120.0	186.00	146.0	318.0	10.0	3.0	1	140
140	3050	C	D-penicillamine	17180	F	N	N	N	N	0.9	346.0	3.77	59.0	794.0	125.55	56.0	336.0	10.6	2.0	1	141
141	2419	D	Placebo	20354	F	N	Y	N	N	1.0	364.0	3.48	20.0	720.0	134.85	88.0	283.0	9.9	2.0	1	142
142	786	D	Placebo	16839	F	N	Y	N	N	2.9	332.0	3.60	86.0	1492.0	134.85	103.0	277.0	11.0	4.0	1	143
144	2976	C	Placebo	18701	F	N	N	Y	N	0.7	309.0	3.84	96.0	858.0	41.85	106.0	253.0	11.4	3.0	1	145
145	2615	C	Placebo	12369	F	N	N	N	S	1.2	NaN	3.89	58.0	1284.0	173.60	NaN	239.0	9.4	3.0	1	146
146	2995	C	D-penicillamine	27398	F	N	N	N	S	1.2	288.0	3.37	32.0	791.0	57.35	114.0	213.0	10.7	2.0	1	147
149	2891	C	Placebo	12779	F	N	N	Y	N	1.0	NaN	3.63	57.0	1536.0	134.85	NaN	233.0	10.0	1.0	1	150
150	2870	C	D-penicillamine	20104	F	N	N	N	N	0.9	460.0	3.03	57.0	721.0	85.25	174.0	301.0	9.4	2.0	1	151
152	2863	C	D-penicillamine	18118	F	N	N	N	N	0.5	217.0	3.85	68.0	453.0	54.25	68.0	270.0	11.1	1.0	1	153
154	2666	C	Placebo	15909	F	N	Y	Y	S	0.6	220.0	3.35	57.0	1620.0	153.45	80.0	311.0	11.2	4.0	1	155
156	2835	C	Placebo	17809	F	N	N	N	N	0.6	286.0	3.42	34.0	1868.0	77.50	206.0	487.0	10.0	2.0	1	157
157	2475	CL	D-penicillamine	13329	F	N	N	N	N	3.4	450.0	3.37	32.0	1408.0	116.25	118.0	313.0	11.2	2.0	1	158
159	2772	C	Placebo	20955	F	N	N	N	N	0.6	217.0	3.62	13.0	414.0	75.95	119.0	224.0	10.5	3.0	1	160
160	2797	C	Placebo	15612	F	N	N	N	N	2.3	502.0	3.56	4.0	964.0	120.90	180.0	269.0	9.6	2.0	1	161
161	186	D	Placebo	21483	F	N	Y	Y	N	3.2	260.0	3.19	91.0	815.0	127.10	101.0	160.0	12.0	4.0	1	162
162	2055	D	D-penicillamine	19540	F	N	N	N	N	0.3	233.0	4.08	20.0	622.0	66.65	68.0	358.0	9.9	3.0	1	163
164	1077	D	D-penicillamine	19470	M	N	Y	N	N	4.0	196.0	3.45	80.0	2496.0	133.30	142.0	212.0	11.3	4.0	1	165
167	2713	C	Placebo	17442	F	N	Y	N	N	0.4	257.0	3.80	44.0	842.0	97.65	110.0	NaN	9.2	2.0	1	168
168	1212	D	Placebo	12963	F	N	N	N	N	1.3	408.0	4.22	67.0	1387.0	142.60	137.0	295.0	10.1	3.0	1	169
169	2692	C	D-penicillamine	17774	F	N	N	N	N	1.2	390.0	3.61	32.0	1509.0	88.35	52.0	263.0	9.0	3.0	1	170
171	2301	C	Placebo	18215	F	N	N	Y	N	1.3	205.0	3.34	65.0	1031.0	91.45	126.0	217.0	9.8	3.0	1	172
172	2657	C	D-penicillamine	11058	F	N	Y	Y	N	3.0	236.0	3.42	76.0	1403.0	89.90	86.0	493.0	9.8	2.0	1	173
173	2644	C	D-penicillamine	20296	F	N	N	N	N	0.5	NaN	3.85	63.0	663.0	79.05	NaN	311.0	9.7	1.0	1	174
174	2624	C	Placebo	19049	F	N	N	N	N	0.8	283.0	3.80	152.0	718.0	108.50	168.0	340.0	10.1	3.0	1	175
175	1492	D	D-penicillamine	15198	F	N	Y	Y	N	3.2	NaN	3.56	77.0	1790.0	139.50	NaN	149.0	10.1	4.0	1	176
176	2609	C	Placebo	20254	F	N	N	N	N	0.9	258.0	4.01	49.0	559.0	43.40	133.0	277.0	10.4	2.0	1	177
177	2580	C	D-penicillamine	25569	F	N	N	N	N	0.6	NaN	4.08	51.0	665.0	74.40	NaN	325.0	10.2	4.0	1	178
178	2573	C	Placebo	16050	F	N	Y	N	N	1.8	396.0	3.83	39.0	2148.0	102.30	133.0	278.0	9.9	4.0	1	179
180	2556	C	D-penicillamine	16279	F	N	Y	Y	N	1.4	248.0	3.58	63.0	554.0	75.95	106.0	79.0	10.3	4.0	1	181
182	2241	CL	Placebo	14705	F	N	N	N	N	0.5	201.0	3.73	44.0	1345.0	54.25	145.0	445.0	10.1	2.0	1	183
184	2527	C	D-penicillamine	17664	F	N	N	N	N	0.8	256.0	3.54	42.0	1132.0	74.40	94.0	192.0	10.5	3.0	1	185
187	2332	C	D-penicillamine	22873	F	N	Y	N	N	0.7	187.0	3.48	41.0	654.0	120.90	98.0	164.0	11.0	4.0	1	188
188	2456	C	Placebo	18499	F	N	Y	N	N	1.3	360.0	3.63	52.0	1812.0	97.65	164.0	256.0	9.9	3.0	1	189
189	2504	C	D-penicillamine	19916	F	N	N	Y	N	2.3	NaN	3.93	24.0	1828.0	133.30	NaN	327.0	10.2	2.0	1	190
191	2443	C	D-penicillamine	19256	F	N	Y	N	N	0.9	308.0	3.69	67.0	696.0	51.15	101.0	344.0	9.8	4.0	1	192
193	2449	C	D-penicillamine	16216	F	N	N	N	N	1.5	293.0	4.30	50.0	975.0	125.55	56.0	336.0	9.1	2.0	1	194
194	2330	C	D-penicillamine	10795	F	N	Y	N	N	3.7	347.0	3.90	76.0	2544.0	221.65	90.0	129.0	11.5	4.0	1	195
195	2363	C	D-penicillamine	20834	F	N	Y	Y	N	1.4	226.0	3.36	13.0	810.0	72.85	62.0	117.0	11.6	4.0	1	196
196	2365	C	D-penicillamine	16300	F	N	N	N	N	0.6	266.0	3.97	25.0	1164.0	102.30	102.0	201.0	10.1	2.0	1	197
197	2357	C	Placebo	13075	F	N	N	Y	N	0.7	286.0	2.90	38.0	1692.0	141.05	90.0	381.0	9.6	2.0	1	198
198	1592	C	D-penicillamine	14872	F	N	N	N	N	2.1	392.0	3.43	52.0	1395.0	184.45	194.0	328.0	10.2	3.0	1	199
199	2318	C	Placebo	11773	F	N	N	Y	N	4.7	236.0	3.55	112.0	1391.0	137.95	114.0	332.0	9.9	3.0	1	200
200	2294	C	Placebo	15009	F	N	Y	N	N	0.6	235.0	3.20	26.0	1758.0	106.95	67.0	228.0	10.8	4.0	1	201
203	2090	D	Placebo	22857	F	N	N	N	N	0.7	255.0	3.74	23.0	1024.0	77.50	58.0	281.0	10.2	3.0	1	204
206	2171	C	D-penicillamine	26580	F	N	N	N	S	0.6	NaN	3.33	14.0	733.0	85.25	NaN	259.0	10.1	4.0	1	207
207	904	D	D-penicillamine	22388	F	N	Y	N	N	3.9	396.0	3.20	58.0	1440.0	153.45	131.0	156.0	10.0	4.0	1	208
208	2216	C	Placebo	19221	F	N	Y	Y	N	0.7	252.0	4.01	11.0	1210.0	72.85	58.0	309.0	9.5	2.0	1	209
209	2224	C	Placebo	18176	M	N	Y	N	N	0.9	346.0	3.37	81.0	1098.0	122.45	90.0	298.0	10.0	2.0	1	210
210	2195	C	Placebo	19327	F	N	N	N	N	1.3	NaN	3.76	27.0	1282.0	100.75	NaN	114.0	10.3	3.0	1	211
211	2176	C	Placebo	17263	F	N	N	N	N	1.2	232.0	3.98	11.0	1074.0	100.75	99.0	223.0	9.9	3.0	1	212
212	2178	C	D-penicillamine	18337	F	N	N	Y	N	0.5	400.0	3.40	9.0	1134.0	96.10	55.0	356.0	10.2	3.0	1	213
215	2168	C	D-penicillamine	21610	F	N	N	N	N	0.5	NaN	3.68	20.0	856.0	55.80	NaN	146.0	10.4	3.0	1	216
217	2170	C	D-penicillamine	12636	F	N	N	N	N	0.5	NaN	3.89	29.0	897.0	66.65	NaN	423.0	10.1	1.0	1	218
218	2157	C	Placebo	15601	F	N	N	N	N	1.6	215.0	4.17	67.0	936.0	134.85	85.0	176.0	9.6	3.0	1	219
219	1235	D	D-penicillamine	23241	F	N	N	Y	N	3.8	426.0	3.22	96.0	2716.0	210.80	113.0	228.0	10.6	2.0	1	220
223	1945	C	D-penicillamine	14106	F	N	N	N	N	1.0	309.0	3.66	67.0	1214.0	158.10	101.0	309.0	9.7	3.0	1	224
224	2022	C	D-penicillamine	14161	F	N	N	N	N	0.7	274.0	3.66	108.0	1065.0	88.35	135.0	251.0	10.1	2.0	1	225
225	1978	C	Placebo	20708	F	N	Y	N	N	0.5	223.0	3.70	39.0	884.0	75.95	104.0	231.0	9.6	3.0	1	226
226	999	D	D-penicillamine	21532	M	N	N	N	N	2.3	316.0	3.35	172.0	1601.0	179.80	63.0	394.0	9.7	2.0	1	227
227	1967	C	Placebo	13486	F	N	N	N	N	0.7	215.0	3.35	41.0	645.0	93.00	74.0	165.0	9.6	3.0	1	228
229	1979	C	Placebo	12641	F	N	Y	Y	N	3.3	302.0	3.41	51.0	310.0	83.70	44.0	95.0	11.5	4.0	1	230
231	1951	C	D-penicillamine	18329	F	N	Y	N	N	0.4	267.0	3.02	47.0	1001.0	133.30	87.0	265.0	10.6	3.0	1	232
233	1776	C	Placebo	12557	F	N	N	N	N	0.9	578.0	3.35	78.0	976.0	116.25	177.0	322.0	11.2	2.0	1	234
235	1908	C	D-penicillamine	14019	F	N	Y	Y	N	1.5	253.0	3.79	67.0	1006.0	139.50	106.0	341.0	9.7	3.0	1	236
236	1882	C	D-penicillamine	21828	F	N	Y	N	N	1.6	442.0	2.95	105.0	820.0	85.25	108.0	181.0	10.1	3.0	1	237
237	1874	C	Placebo	24257	F	N	N	N	S	0.6	280.0	3.35	NaN	1093.0	128.65	81.0	295.0	9.8	2.0	1	238
239	1831	C	D-penicillamine	20483	F	N	N	N	N	0.4	232.0	3.72	24.0	369.0	51.15	139.0	326.0	10.1	3.0	1	240
241	1810	C	D-penicillamine	23585	F	N	Y	N	N	1.9	354.0	2.97	86.0	1553.0	196.85	152.0	277.0	9.9	3.0	1	242
245	1435	CL	D-penicillamine	12035	F	N	Y	N	N	2.1	387.0	3.77	63.0	1613.0	150.35	33.0	185.0	10.1	4.0	1	246
247	1785	C	Placebo	20241	F	N	Y	N	N	0.8	324.0	3.51	39.0	1237.0	66.65	146.0	371.0	10.0	3.0	1	248
248	1783	C	D-penicillamine	17525	F	N	N	Y	N	1.3	242.0	3.20	35.0	1556.0	175.15	71.0	195.0	10.6	4.0	1	249
249	1769	C	Placebo	14899	F	N	Y	N	N	0.6	299.0	3.36	23.0	2769.0	220.10	85.0	303.0	10.9	4.0	1	250
250	1457	C	D-penicillamine	20810	F	N	N	N	N	0.5	227.0	3.61	40.0	676.0	83.00	120.0	249.0	9.9	2.0	1	251
251	1770	C	D-penicillamine	25006	F	N	Y	Y	N	1.1	246.0	3.35	116.0	924.0	113.15	90.0	317.0	10.0	4.0	1	252
253	737	CL	D-penicillamine	14558	F	N	Y	Y	N	3.1	227.0	3.75	121.0	1136.0	110.00	91.0	264.0	10.0	3.0	1	254
254	1735	C	Placebo	12897	F	N	Y	Y	N	0.7	193.0	3.85	35.0	466.0	53.00	118.0	156.0	10.3	3.0	1	255
255	1701	C	D-penicillamine	11485	F	N	N	N	N	1.1	336.0	3.74	48.0	823.0	84.00	108.0	242.0	9.7	3.0	1	256
256	1614	C	D-penicillamine	21281	F	N	N	N	N	0.5	280.0	4.23	36.0	377.0	56.00	146.0	227.0	10.6	2.0	1	257
257	1702	C	D-penicillamine	18806	F	N	N	N	N	1.1	414.0	3.44	80.0	1003.0	99.00	55.0	271.0	9.6	1.0	1	258
258	1615	C	Placebo	21904	F	N	Y	N	N	3.1	277.0	2.97	42.0	1110.0	125.00	126.0	221.0	9.8	3.0	1	259
259	1656	C	Placebo	27220	M	N	Y	N	N	5.6	232.0	3.59	188.0	1120.0	98.00	128.0	248.0	10.9	4.0	1	260
260	1677	C	Placebo	19126	F	N	Y	Y	N	3.2	375.0	3.14	129.0	857.0	89.00	NaN	375.0	9.5	3.0	1	261
262	1301	CL	Placebo	12738	F	N	Y	Y	S	1.1	432.0	3.57	45.0	1406.0	190.00	77.0	248.0	11.4	4.0	1	263
263	1542	CL	Placebo	16122	F	N	Y	Y	N	3.4	356.0	3.12	188.0	1911.0	92.00	130.0	318.0	11.2	3.0	1	264
264	1084	CL	Placebo	16941	F	N	Y	N	N	3.5	348.0	3.20	121.0	938.0	120.00	146.0	296.0	10.0	4.0	1	265
267	1191	D	D-penicillamine	20233	F	Y	Y	N	S	6.4	344.0	2.75	16.0	834.0	82.00	179.0	149.0	11.0	4.0	1	268
268	1363	C	Placebo	16467	F	N	N	N	N	3.6	374.0	3.50	143.0	1428.0	188.00	44.0	151.0	10.1	2.0	1	269
269	1568	C	D-penicillamine	9598	F	N	Y	Y	N	1.0	448.0	3.74	102.0	1128.0	71.00	117.0	228.0	10.2	3.0	1	270
270	1569	C	Placebo	18435	F	N	Y	N	N	1.0	321.0	3.50	94.0	955.0	111.00	177.0	289.0	9.7	3.0	1	271
271	1525	C	D-penicillamine	14025	F	N	N	N	N	0.5	226.0	2.93	22.0	674.0	58.00	85.0	153.0	9.8	1.0	1	272
272	1558	C	Placebo	17320	F	N	N	Y	N	2.2	328.0	3.46	75.0	1677.0	87.00	116.0	202.0	9.6	3.0	1	273
273	1447	CL	D-penicillamine	17525	F	N	N	N	N	1.6	NaN	3.07	136.0	1995.0	128.00	NaN	372.0	9.6	4.0	1	274
274	1349	C	D-penicillamine	13995	F	N	N	N	N	2.2	572.0	3.77	77.0	2520.0	92.00	114.0	309.0	9.5	4.0	1	275
275	1481	C	D-penicillamine	18302	F	N	N	N	N	1.0	219.0	3.85	67.0	640.0	145.00	108.0	95.0	10.7	2.0	1	276
276	1434	C	Placebo	12816	F	N	N	N	S	1.0	317.0	3.56	44.0	1636.0	84.00	111.0	394.0	9.8	3.0	1	277
277	1420	C	Placebo	11872	F	N	N	N	N	5.6	338.0	3.70	130.0	2139.0	185.00	193.0	215.0	9.9	4.0	1	278
278	1433	C	Placebo	20510	F	N	N	N	N	0.5	198.0	3.77	38.0	911.0	57.00	56.0	280.0	9.8	2.0	1	279
279	1412	C	D-penicillamine	16858	F	N	N	N	N	1.6	325.0	3.69	69.0	2583.0	142.00	140.0	284.0	9.6	3.0	1	280
281	1455	C	Placebo	12398	F	N	Y	N	N	1.3	304.0	3.52	97.0	1622.0	71.00	169.0	255.0	9.5	4.0	1	282
282	1030	C	Placebo	22960	F	N	N	N	N	1.1	412.0	3.99	103.0	1293.0	91.00	113.0	422.0	9.6	4.0	1	283
283	1418	C	Placebo	17738	F	N	N	N	N	1.3	291.0	3.44	75.0	1082.0	85.00	195.0	251.0	9.5	3.0	1	284
284	1401	C	D-penicillamine	16929	F	N	N	N	N	0.8	253.0	3.48	65.0	688.0	57.00	80.0	252.0	10.0	1.0	1	285
285	1408	C	D-penicillamine	14191	F	N	Y	Y	N	2.0	310.0	3.36	70.0	1257.0	122.00	118.0	143.0	9.8	3.0	1	286
286	1234	C	D-penicillamine	21421	F	N	N	Y	N	6.4	373.0	3.46	155.0	1768.0	120.00	151.0	258.0	10.1	4.0	1	287
289	1363	C	D-penicillamine	24101	F	N	N	N	N	1.4	294.0	3.57	33.0	722.0	93.00	69.0	283.0	9.8	3.0	1	290
295	1321	C	Placebo	11462	F	N	N	N	N	0.8	328.0	3.31	62.0	1105.0	137.00	95.0	293.0	10.9	4.0	1	296
296	533	CL	D-penicillamine	20449	M	N	Y	N	N	1.2	275.0	3.43	100.0	1142.0	75.00	91.0	217.0	11.3	4.0	1	297
297	1300	C	Placebo	19258	F	N	Y	N	N	1.1	340.0	3.37	73.0	289.0	97.00	93.0	243.0	10.2	3.0	1	298
298	1293	C	D-penicillamine	13913	F	N	N	N	N	2.4	342.0	3.76	90.0	1653.0	150.00	127.0	213.0	10.8	3.0	1	299
300	1295	C	Placebo	16513	F	N	N	N	N	1.0	393.0	3.57	50.0	1307.0	74.00	103.0	295.0	10.5	4.0	1	301
301	1271	C	D-penicillamine	13806	F	N	N	N	N	0.7	335.0	3.95	43.0	657.0	52.00	104.0	268.0	10.6	2.0	1	302
302	1250	C	Placebo	22156	F	N	Y	Y	N	1.0	372.0	3.25	108.0	1190.0	140.00	55.0	248.0	10.6	4.0	1	303
303	1230	C	D-penicillamine	12979	F	N	N	N	N	0.5	219.0	3.93	22.0	663.0	45.00	75.0	246.0	10.8	3.0	1	304
305	1216	C	Placebo	20597	F	N	Y	N	N	0.6	239.0	3.45	31.0	1072.0	55.00	64.0	227.0	10.7	2.0	1	306
306	1149	C	Placebo	11167	F	N	N	N	N	0.8	273.0	3.56	52.0	1282.0	130.00	59.0	344.0	10.5	2.0	1	307
307	1153	C	D-penicillamine	22347	F	N	Y	N	N	0.4	246.0	3.58	24.0	797.0	91.00	113.0	288.0	10.4	2.0	1	308
308	994	C	Placebo	21294	F	N	N	N	N	0.4	260.0	2.75	41.0	1166.0	70.00	82.0	231.0	10.8	2.0	1	309
309	939	C	D-penicillamine	22767	F	N	N	N	N	1.7	434.0	3.35	39.0	1713.0	171.00	100.0	234.0	10.2	2.0	1	310
310	839	C	D-penicillamine	13879	F	N	N	N	N	2.0	247.0	3.16	69.0	1050.0	117.00	88.0	335.0	10.5	2.0	1	311
311	788	C	Placebo	12109	F	N	N	Y	N	6.4	576.0	3.79	186.0	2115.0	136.00	149.0	200.0	10.8	2.0	1	312
312	4062	C	NaN	21915	F	NaN	NaN	NaN	N	0.7	NaN	3.65	NaN	NaN	NaN	NaN	378.0	11.0	NaN	1	313
313	3561	D	NaN	23741	F	NaN	NaN	NaN	S	1.4	NaN	3.04	NaN	NaN	NaN	NaN	331.0	12.1	4.0	1	314
314	2844	C	NaN	19724	F	NaN	NaN	NaN	N	0.7	NaN	4.03	NaN	NaN	NaN	NaN	226.0	9.8	4.0	1	315
315	2071	D	NaN	27394	F	NaN	NaN	NaN	S	0.7	NaN	3.96	NaN	NaN	NaN	NaN	NaN	11.3	4.0	1	316
317	1680	C	NaN	15706	F	NaN	NaN	NaN	N	0.7	NaN	3.68	NaN	NaN	NaN	NaN	306.0	9.5	2.0	1	318
318	41	D	NaN	16802	F	NaN	NaN	NaN	N	5.0	NaN	2.93	NaN	NaN	NaN	NaN	260.0	10.4	NaN	1	319
319	2403	C	NaN	16071	F	NaN	NaN	NaN	S	0.4	NaN	3.81	NaN	NaN	NaN	NaN	226.0	10.5	3.0	1	320
320	1170	C	NaN	22280	M	NaN	NaN	NaN	S	1.3	NaN	3.41	NaN	NaN	NaN	NaN	259.0	10.9	4.0	1	321
321	2011	D	NaN	23376	F	NaN	NaN	NaN	N	1.1	NaN	3.69	NaN	NaN	NaN	NaN	139.0	10.5	NaN	1	322
322	3523	C	NaN	14610	F	NaN	NaN	NaN	N	0.6	NaN	4.04	NaN	NaN	NaN	NaN	130.0	11.2	2.0	1	323
323	3468	C	NaN	23011	F	NaN	NaN	NaN	N	0.6	NaN	3.94	NaN	NaN	NaN	NaN	234.0	11.5	2.0	1	324
325	1236	C	NaN	18993	F	NaN	NaN	NaN	N	1.5	NaN	3.42	NaN	NaN	NaN	NaN	246.0	10.3	3.0	1	326
326	4214	C	NaN	17897	F	NaN	NaN	NaN	N	1.2	NaN	3.99	NaN	NaN	NaN	NaN	NaN	11.2	2.0	1	327
327	2111	D	NaN	19724	F	NaN	NaN	NaN	N	1.0	NaN	3.60	NaN	NaN	NaN	NaN	NaN	12.1	2.0	1	328
328	1462	D	NaN	23011	F	NaN	NaN	NaN	N	0.7	NaN	3.40	NaN	NaN	NaN	NaN	371.0	10.1	4.0	1	329
329	1746	D	NaN	19724	M	NaN	NaN	NaN	N	3.5	NaN	3.63	NaN	NaN	NaN	NaN	325.0	10.3	2.0	1	330
332	1518	D	NaN	20454	F	NaN	NaN	NaN	N	2.8	NaN	3.92	NaN	NaN	NaN	NaN	NaN	10.6	4.0	1	333
334	3527	C	NaN	20089	F	NaN	NaN	NaN	N	0.6	NaN	4.15	NaN	NaN	NaN	NaN	280.0	10.1	2.0	1	335
335	2635	C	NaN	23741	F	NaN	NaN	NaN	N	2.1	NaN	3.34	NaN	NaN	NaN	NaN	155.0	10.1	4.0	1	336
336	2286	D	NaN	20454	F	NaN	NaN	NaN	N	1.8	NaN	3.64	NaN	NaN	NaN	NaN	141.0	10.0	NaN	1	337
338	3492	C	NaN	21915	F	NaN	NaN	NaN	N	0.6	NaN	4.38	NaN	NaN	NaN	NaN	269.0	10.6	2.0	1	339
339	3495	C	NaN	19358	F	NaN	NaN	NaN	N	5.4	NaN	4.19	NaN	NaN	NaN	NaN	141.0	11.2	2.0	1	340
341	3231	C	NaN	18263	F	NaN	NaN	NaN	N	0.9	NaN	4.01	NaN	NaN	NaN	NaN	244.0	10.5	3.0	1	342
344	3021	CL	NaN	17532	F	NaN	NaN	NaN	N	0.5	NaN	3.76	NaN	NaN	NaN	NaN	388.0	10.1	2.0	1	345
345	559	D	NaN	25568	F	NaN	NaN	NaN	S	0.6	NaN	3.81	NaN	NaN	NaN	NaN	160.0	11.0	4.0	1	346
346	2812	D	NaN	18628	F	NaN	NaN	NaN	N	3.4	NaN	3.92	NaN	NaN	NaN	NaN	NaN	9.3	2.0	1	347
347	2834	C	NaN	18993	M	NaN	NaN	NaN	N	0.9	NaN	3.14	NaN	NaN	NaN	NaN	191.0	12.3	2.0	1	348
348	2855	C	NaN	19724	F	NaN	NaN	NaN	N	1.4	NaN	3.82	NaN	NaN	NaN	NaN	249.0	10.3	2.0	1	349
349	662	D	NaN	17532	F	NaN	NaN	NaN	N	2.1	NaN	4.10	NaN	NaN	NaN	NaN	200.0	9.0	3.0	1	350
351	2716	C	NaN	19358	F	NaN	NaN	NaN	N	0.6	NaN	4.19	NaN	NaN	NaN	NaN	330.0	9.9	1.0	1	352
352	2698	C	NaN	22646	F	NaN	NaN	NaN	N	1.3	NaN	3.40	NaN	NaN	NaN	NaN	167.0	10.6	4.0	1	353
353	990	D	NaN	21550	F	NaN	NaN	NaN	N	1.3	NaN	3.12	NaN	NaN	NaN	NaN	125.0	9.6	2.0	1	354
354	2338	C	NaN	14245	F	NaN	NaN	NaN	N	1.6	NaN	3.75	NaN	NaN	NaN	NaN	145.0	10.4	3.0	1	355
355	1616	D	NaN	24472	F	NaN	NaN	NaN	S	2.2	NaN	3.26	NaN	NaN	NaN	NaN	171.0	11.1	4.0	1	356
356	2563	C	NaN	21185	F	NaN	NaN	NaN	N	3.0	NaN	3.46	NaN	NaN	NaN	NaN	109.0	10.4	4.0	1	357
357	2537	C	NaN	23376	F	NaN	NaN	NaN	N	0.8	NaN	3.49	NaN	NaN	NaN	NaN	314.0	10.3	3.0	1	358
358	2534	C	NaN	16802	F	NaN	NaN	NaN	N	0.8	NaN	2.89	NaN	NaN	NaN	NaN	419.0	NaN	1.0	1	359
359	778	D	NaN	23376	F	NaN	NaN	NaN	N	1.8	NaN	3.15	NaN	NaN	NaN	NaN	183.0	10.4	4.0	1	360
362	2249	C	NaN	16071	F	NaN	NaN	NaN	N	0.6	NaN	3.50	NaN	NaN	NaN	NaN	150.0	9.9	3.0	1	363
363	359	D	NaN	21550	F	NaN	NaN	NaN	N	2.7	NaN	3.35	NaN	NaN	NaN	NaN	142.0	11.5	4.0	1	364
364	1925	C	NaN	23011	F	NaN	NaN	NaN	N	0.9	NaN	3.58	NaN	NaN	NaN	NaN	224.0	10.0	3.0	1	365
365	249	D	NaN	22280	F	NaN	NaN	NaN	N	1.3	NaN	3.01	NaN	NaN	NaN	NaN	223.0	10.7	3.0	1	366
366	2202	C	NaN	23376	F	NaN	NaN	NaN	N	1.1	NaN	3.49	NaN	NaN	NaN	NaN	166.0	9.8	3.0	1	367
371	2149	C	NaN	13514	F	NaN	NaN	NaN	N	0.6	NaN	3.55	NaN	NaN	NaN	NaN	248.0	10.3	2.0	1	372
372	2103	C	NaN	22646	F	NaN	NaN	NaN	N	0.7	NaN	3.29	NaN	NaN	NaN	NaN	190.0	9.8	2.0	1	373
373	1980	C	NaN	18628	F	NaN	NaN	NaN	N	0.7	NaN	3.10	NaN	NaN	NaN	NaN	274.0	10.6	3.0	1	374
374	1347	CL	NaN	18993	F	NaN	NaN	NaN	N	1.7	NaN	3.24	NaN	NaN	NaN	NaN	231.0	10.5	3.0	1	375
376	1987	C	NaN	12053	F	NaN	NaN	NaN	N	2.2	NaN	3.76	NaN	NaN	NaN	NaN	253.0	9.9	3.0	1	377
377	1168	D	NaN	21915	F	NaN	NaN	NaN	S	1.8	NaN	3.62	NaN	NaN	NaN	NaN	225.0	9.9	2.0	1	378
378	597	D	NaN	23011	F	NaN	NaN	NaN	S	3.3	NaN	2.73	NaN	NaN	NaN	NaN	224.0	11.1	4.0	1	379
379	1725	CL	NaN	12053	F	NaN	NaN	NaN	N	2.9	NaN	4.08	NaN	NaN	NaN	NaN	418.0	10.5	3.0	1	380
380	1899	C	NaN	14975	M	NaN	NaN	NaN	N	1.7	NaN	3.66	NaN	NaN	NaN	NaN	92.0	11.0	4.0	1	381
382	1022	CL	NaN	13514	F	NaN	NaN	NaN	S	0.8	NaN	3.00	NaN	NaN	NaN	NaN	76.0	10.8	4.0	1	383
383	1639	C	NaN	21550	F	NaN	NaN	NaN	N	1.3	NaN	3.40	NaN	NaN	NaN	NaN	243.0	9.7	1.0	1	384
384	1635	C	NaN	20089	F	NaN	NaN	NaN	N	0.7	NaN	2.93	NaN	NaN	NaN	NaN	209.0	10.6	3.0	1	385
387	1560	C	NaN	14610	F	NaN	NaN	NaN	N	0.9	NaN	3.50	NaN	NaN	NaN	NaN	117.0	10.9	4.0	1	388
388	1581	C	NaN	24472	F	NaN	NaN	NaN	N	0.7	NaN	3.06	NaN	NaN	NaN	NaN	165.0	10.0	4.0	1	389
389	1419	C	NaN	24837	M	NaN	NaN	NaN	N	3.0	NaN	3.15	NaN	NaN	NaN	NaN	139.0	10.0	3.0	1	390
390	1443	C	NaN	14975	F	NaN	NaN	NaN	N	1.2	NaN	2.80	NaN	NaN	NaN	NaN	120.0	11.0	2.0	1	391
391	1368	C	NaN	25202	F	NaN	NaN	NaN	N	0.4	NaN	3.03	NaN	NaN	NaN	NaN	173.0	10.9	3.0	1	392
392	193	D	NaN	18993	F	NaN	NaN	NaN	S	0.7	NaN	2.96	NaN	NaN	NaN	NaN	319.0	9.9	4.0	1	393
393	1367	C	NaN	20819	F	NaN	NaN	NaN	S	2.0	NaN	3.07	NaN	NaN	NaN	NaN	80.0	12.1	4.0	1	394
394	1329	C	NaN	13149	F	NaN	NaN	NaN	N	1.4	NaN	3.98	NaN	NaN	NaN	NaN	402.0	11.0	1.0	1	395
395	1343	C	NaN	18263	F	NaN	NaN	NaN	N	1.6	NaN	3.48	NaN	NaN	NaN	NaN	277.0	10.2	2.0	1	396
396	1328	C	NaN	23376	F	NaN	NaN	NaN	N	0.5	NaN	3.65	NaN	NaN	NaN	NaN	425.0	10.2	4.0	1	397
399	1223	C	NaN	16071	F	NaN	NaN	NaN	N	0.5	NaN	3.34	NaN	NaN	NaN	NaN	258.0	10.6	2.0	1	400
400	935	D	NaN	25202	F	NaN	NaN	NaN	N	4.2	NaN	3.19	NaN	NaN	NaN	NaN	120.0	11.1	4.0	1	401
401	943	C	NaN	18993	F	NaN	NaN	NaN	N	0.8	NaN	3.01	NaN	NaN	NaN	NaN	256.0	10.6	3.0	1	402
402	1141	C	NaN	24107	F	NaN	NaN	NaN	N	2.5	NaN	3.33	NaN	NaN	NaN	NaN	256.0	10.8	4.0	1	403
403	1092	C	NaN	14610	F	NaN	NaN	NaN	N	4.6	NaN	3.60	NaN	NaN	NaN	NaN	337.0	10.4	3.0	1	404
404	1150	C	NaN	18993	F	NaN	NaN	NaN	N	1.0	NaN	3.64	NaN	NaN	NaN	NaN	340.0	10.6	3.0	1	405
405	703	D	NaN	16802	F	NaN	NaN	NaN	N	4.5	NaN	2.68	NaN	NaN	NaN	NaN	219.0	11.5	4.0	1	406
406	1129	C	NaN	19724	M	NaN	NaN	NaN	N	1.1	NaN	3.69	NaN	NaN	NaN	NaN	220.0	10.8	3.0	1	407
407	1086	C	NaN	18628	F	NaN	NaN	NaN	S	1.9	NaN	3.17	NaN	NaN	NaN	NaN	162.0	10.7	3.0	1	408
408	1067	C	NaN	15706	F	NaN	NaN	NaN	N	0.7	NaN	3.73	NaN	NaN	NaN	NaN	214.0	10.8	3.0	1	409
409	1072	C	NaN	14245	F	NaN	NaN	NaN	N	1.5	NaN	3.81	NaN	NaN	NaN	NaN	255.0	10.8	3.0	1	410
410	1119	C	NaN	18628	F	NaN	NaN	NaN	N	0.6	NaN	3.57	NaN	NaN	NaN	NaN	286.0	10.6	3.0	1	411
411	1097	C	NaN	24472	F	NaN	NaN	NaN	N	1.0	NaN	3.58	NaN	NaN	NaN	NaN	244.0	10.8	3.0	1	412
412	989	C	NaN	12784	F	NaN	NaN	NaN	N	0.7	NaN	3.23	NaN	NaN	NaN	NaN	312.0	10.8	3.0	1	413
413	681	D	NaN	24472	F	NaN	NaN	NaN	N	1.2	NaN	2.96	NaN	NaN	NaN	NaN	174.0	10.9	3.0	1	414
414	1103	C	NaN	14245	F	NaN	NaN	NaN	N	0.9	NaN	3.83	NaN	NaN	NaN	NaN	180.0	11.2	4.0	1	415
415	1055	C	NaN	20819	F	NaN	NaN	NaN	N	1.6	NaN	3.42	NaN	NaN	NaN	NaN	143.0	9.9	3.0	1	416
416	691	C	NaN	21185	F	NaN	NaN	NaN	N	0.8	NaN	3.75	NaN	NaN	NaN	NaN	269.0	10.4	3.0	1	417
417	976	C	NaN	19358	F	NaN	NaN	NaN	N	0.7	NaN	3.29	NaN	NaN	NaN	NaN	350.0	10.6	4.0	1	418

Visualisasi Data dengan Outlier dan Tanpa Outlier

import matplotlib.pyplot as plt
import seaborn as sns

# Jumlah fitur dan konfigurasi subplot
num_features = len(numeric_cols)
n_cols = 3
n_rows = (num_features + n_cols - 1) // n_cols

plt.figure(figsize=(n_cols * 5, n_rows * 4))

# Loop setiap fitur
for i, col in enumerate(numeric_cols, 1):
    plt.subplot(n_rows, n_cols, i)
    sns.boxplot(y=data_no_outlier[col], color='lightgreen')
    plt.title(f"{col}")
    plt.tight_layout()

plt.suptitle("Boxplot Tiap Fitur Setelah Penghapusan Outlier", fontsize=16, y=1.02)
plt.show()

import matplotlib.pyplot as plt
import seaborn as sns

num_features = len(numeric_cols)
n_cols = 3
n_rows = (num_features + n_cols - 1) // n_cols

plt.figure(figsize=(n_cols * 5, n_rows * 4))

for i, col in enumerate(numeric_cols, 1):
    plt.subplot(n_rows, n_cols, i)
    sns.boxplot(y=data_no_outlier[col], color='lightgreen')
    plt.title(f"{col}")
    plt.tight_layout()

plt.suptitle("Boxplot Tiap Fitur Setelah Penghapusan Outlier", fontsize=16, y=1.02)
plt.show()

Pemodelan

Bagi data untuk training set sebesar 80% dan data untuk testing 20%

import pandas as pd
from sklearn.neighbors import LocalOutlierFactor
from sklearn.model_selection import train_test_split

# Load dataset
data = pd.read_csv("cirrhosis.csv")

# Pilih kolom numerik dan hapus baris dengan NaN
numeric_cols = data.select_dtypes(include='number').columns.tolist()
data_clean = data[numeric_cols].dropna()

# Terapkan LOF untuk mendeteksi outlier
lof = LocalOutlierFactor(n_neighbors=20, contamination=0.1)  # 10% sebagai outlier
outlier_flags = lof.fit_predict(data_clean)

# Simpan hanya data yang bukan outlier
data_no_outlier = data.loc[data_clean.index[outlier_flags == 1]].copy()
data_no_outlier['id'] = data_no_outlier.index + 1

# Split ke training dan testing set
train_data, test_data = train_test_split(data_no_outlier, test_size=0.2, random_state=42)

# Simpan ke file CSV jika diperlukan
train_data.to_csv("train_data_lof.csv", index=False)
test_data.to_csv("test_data_lof.csv", index=False)

AKurasi Denan Outlier dan Tanpat Outlier

import pandas as pd
from sklearn.neighbors import LocalOutlierFactor
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score

# Load dataset
data = pd.read_csv("cirrhosis.csv")

# Tentukan kolom target
target_col = 'Status'

# Hapus baris dengan target null
data = data.dropna(subset=[target_col])

# Encode target menjadi angka
data[target_col] = data[target_col].astype('category').cat.codes

# Encode semua fitur kategorikal jadi numerik
data_encoded = pd.get_dummies(data, drop_first=True)

# Hapus baris dengan NaN (untuk memudahkan pemrosesan)
data_clean = data_encoded.dropna()

# -----------------------------
# 1. Data TANPA Outlier (LOF)
# -----------------------------
# Gunakan LOF untuk mendeteksi outlier
lof = LocalOutlierFactor(n_neighbors=20, contamination=0.1)
outlier_flags = lof.fit_predict(data_clean)

# Simpan hanya data non-outlier
data_no_outlier = data_clean[outlier_flags == 1]

# Bagi fitur dan target
X_no_out = data_no_outlier.drop(columns=[target_col])
y_no_out = data_no_outlier[target_col]
X_train_no_out, X_test_no_out, y_train_no_out, y_test_no_out = train_test_split(
    X_no_out, y_no_out, test_size=0.2, random_state=42
)

# Latih model
model_no_out = RandomForestClassifier(random_state=42)
model_no_out.fit(X_train_no_out, y_train_no_out)
y_pred_no_out = model_no_out.predict(X_test_no_out)

# -----------------------------
# 2. Data DENGAN Outlier
# -----------------------------
X_full = data_clean.drop(columns=[target_col])
y_full = data_clean[target_col]
X_train_full, X_test_full, y_train_full, y_test_full = train_test_split(
    X_full, y_full, test_size=0.2, random_state=42
)

# Latih model
model_full = RandomForestClassifier(random_state=42)
model_full.fit(X_train_full, y_train_full)
y_pred_full = model_full.predict(X_test_full)

# -----------------------------
# Evaluasi Akurasi
# -----------------------------
accuracy_no_out = accuracy_score(y_test_no_out, y_pred_no_out)
accuracy_full = accuracy_score(y_test_full, y_pred_full)

print("Akurasi TANPA outlier:", accuracy_no_out)
print("Akurasi DENGAN outlier:", accuracy_full)

Akurasi TANPA outlier: 0.82
Akurasi DENGAN outlier: 0.8214285714285714

Evaluasi

Dengan Menggunakan LOF hasil akurasi mencaoai 82%