Datasets:

ronghua991
/

machine_learning

lcavol float64 -1.35 3.82	lweight float64 2.37 4.78	age int64 41 79	lbph float64 -1.39 2.33	svi int64 0 1	lcp float64 -1.39 2.9	gleason int64 6 9	pgg45 int64 0 100	lpsa float64 -0.43 5.58	train stringclasses 2 values
-0.579818	2.769459	50	-1.386294	0	-1.386294	6	0	-0.430783	T
-0.994252	3.319626	58	-1.386294	0	-1.386294	6	0	-0.162519	T
-0.510826	2.691243	74	-1.386294	0	-1.386294	7	20	-0.162519	T
-1.203973	3.282789	58	-1.386294	0	-1.386294	6	0	-0.162519	T
0.751416	3.432373	62	-1.386294	0	-1.386294	6	0	0.371564	T
-1.049822	3.228826	50	-1.386294	0	-1.386294	6	0	0.765468	T
0.737164	3.473518	64	0.615186	0	-1.386294	6	0	0.765468	F
0.693147	3.539509	58	1.536867	0	-1.386294	6	0	0.854415	T
-0.776529	3.539509	47	-1.386294	0	-1.386294	6	0	1.047319	F
0.223144	3.244544	63	-1.386294	0	-1.386294	6	0	1.047319	F
0.254642	3.604138	65	-1.386294	0	-1.386294	6	0	1.266948	T
-1.347074	3.598681	63	1.266948	0	-1.386294	6	0	1.266948	T
1.61343	3.022861	63	-1.386294	0	-0.597837	7	30	1.266948	T
1.477049	2.998229	67	-1.386294	0	-1.386294	7	5	1.348073	T
1.205971	3.442019	57	-1.386294	0	-0.430783	7	5	1.398717	F
1.541159	3.061052	66	-1.386294	0	-1.386294	6	0	1.446919	T
-0.415515	3.516013	70	1.244155	0	-0.597837	7	30	1.470176	T
2.288486	3.649359	66	-1.386294	0	0.371564	6	0	1.492904	T
-0.562119	3.267666	41	-1.386294	0	-1.386294	6	0	1.558145	T
0.182322	3.825375	70	1.658228	0	-1.386294	6	0	1.599388	T
1.147402	3.419365	59	-1.386294	0	-1.386294	6	0	1.638997	T
2.059239	3.501043	60	1.474763	0	1.348073	7	20	1.658228	F
-0.544727	3.37588	59	-0.798508	0	-1.386294	6	0	1.695616	T
1.781709	3.451574	63	0.438255	0	1.178655	7	60	1.713798	T
0.385262	3.6674	69	1.599388	0	-1.386294	6	0	1.731656	F
1.446919	3.124565	68	0.300105	0	-1.386294	6	0	1.766442	F
0.512824	3.719651	65	-1.386294	0	-0.798508	7	70	1.800058	T
-0.400478	3.865979	67	1.816452	0	-1.386294	7	20	1.816452	F
1.040277	3.128951	67	0.223144	0	0.04879	7	80	1.848455	T
2.409644	3.37588	65	-1.386294	0	1.619388	6	0	1.894617	T
0.285179	4.090169	65	1.962908	0	-0.798508	6	0	1.924249	T
0.182322	3.804438	65	1.704748	0	-1.386294	6	0	2.008214	F
1.275363	3.037354	71	1.266948	0	-1.386294	6	0	2.008214	T
0.00995	3.267666	54	-1.386294	0	-1.386294	6	0	2.021548	F
-0.01005	3.216874	63	-1.386294	0	-0.798508	6	0	2.047693	T
1.308333	4.11985	64	2.171337	0	-1.386294	7	5	2.085672	F
1.423108	3.657131	73	-0.579819	0	1.658228	8	15	2.157559	T
0.457425	2.374906	64	-1.386294	0	-1.386294	7	15	2.191654	T
2.660959	4.085136	68	1.373716	1	1.832581	7	35	2.213754	T
0.797507	3.013081	56	0.936093	0	-0.162519	7	5	2.277267	T
0.620576	3.141995	60	-1.386294	0	-1.386294	9	80	2.297573	T
1.442202	3.68261	68	-1.386294	0	-1.386294	7	10	2.307573	F
0.582216	3.865979	62	1.713798	0	-0.430783	6	0	2.327278	T
1.771557	3.896909	61	-1.386294	0	0.81093	7	6	2.374906	F
1.48614	3.409496	66	1.7492	0	-0.430783	7	20	2.521721	T
1.663926	3.392829	61	0.615186	0	-1.386294	7	15	2.553344	T
2.727853	3.995445	79	1.879465	1	2.656757	9	100	2.568788	T
1.163151	4.035125	68	1.713798	0	-0.430783	7	40	2.568788	F
1.745716	3.498022	43	-1.386294	0	-1.386294	6	0	2.591516	F
1.22083	3.568123	70	1.373716	0	-0.798508	6	0	2.591516	F
1.091923	3.993603	68	-1.386294	0	-1.386294	7	50	2.656757	T
1.660131	4.234831	64	2.073172	0	-1.386294	6	0	2.677591	T
0.512824	3.633631	64	1.492904	0	0.04879	7	70	2.68444	F
2.127041	4.121473	68	1.766442	0	1.446919	7	40	2.691243	F
3.15359	3.516013	59	-1.386294	0	-1.386294	7	5	2.704711	F
1.266948	4.280132	66	2.122262	0	-1.386294	7	15	2.718001	T
0.97456	2.865054	47	-1.386294	0	0.500775	7	4	2.788093	F
0.463734	3.764682	49	1.423108	0	-1.386294	6	0	2.794228	T
0.542324	4.178226	70	0.438255	0	-1.386294	7	20	2.806386	T
1.061257	3.851211	61	1.294727	0	-1.386294	7	40	2.81241	T
0.457425	4.524502	73	2.326302	0	-1.386294	6	0	2.841998	T
1.997418	3.719651	63	1.619388	1	1.909543	7	40	2.853593	F
2.775709	3.524889	72	-1.386294	0	1.558145	9	95	2.853593	T
2.034706	3.917011	66	2.008214	1	2.110213	7	60	2.882004	F
2.073172	3.623007	64	-1.386294	0	-1.386294	6	0	2.882004	F
1.458615	3.836221	61	1.321756	0	-0.430783	7	20	2.88759	F
2.022871	3.878466	68	1.783391	0	1.321756	7	70	2.92047	T
2.198335	4.050915	72	2.307573	0	-0.430783	7	10	2.962692	T
-0.446287	4.408547	69	-1.386294	0	-1.386294	6	0	2.962692	T
1.193922	4.780383	72	2.326302	0	-0.798508	7	5	2.972975	T
1.86408	3.593194	60	-1.386294	1	1.321756	7	60	3.013081	T
1.160021	3.341093	77	1.7492	0	-1.386294	7	25	3.037354	T
1.214913	3.825375	69	-1.386294	1	0.223144	7	20	3.056357	F
1.838961	3.236716	60	0.438255	1	1.178655	9	90	3.075006	F
2.999226	3.849083	69	-1.386294	1	1.909543	7	20	3.275256	T
3.14113	3.263849	68	-0.051293	1	2.420368	7	50	3.337547	T
2.010895	4.433789	72	2.122262	0	0.500775	7	60	3.392829	T
2.537657	4.354784	78	2.326302	0	-1.386294	7	10	3.435599	T
2.6483	3.582129	69	-1.386294	1	2.583998	7	70	3.457893	T
2.77944	3.823192	63	-1.386294	0	0.371564	7	50	3.513037	F
1.467874	3.070376	66	0.559616	0	0.223144	7	40	3.516013	T
2.513656	3.473518	57	0.438255	0	2.327278	7	60	3.530763	T
2.613007	3.888754	77	-0.527633	1	0.559616	7	30	3.565298	T
2.677591	3.838376	65	1.115142	0	1.7492	9	70	3.57094	F
1.562346	3.709907	60	1.695616	0	0.81093	7	30	3.587677	T
3.302849	3.51898	64	-1.386294	1	2.327278	7	60	3.630986	T
2.024193	3.731699	58	1.638997	0	-1.386294	6	0	3.680091	T
1.731656	3.369018	62	-1.386294	1	0.300105	7	30	3.712352	T
2.807594	4.718052	65	-1.386294	1	2.463853	7	60	3.984344	T
1.562346	3.69511	76	0.936093	1	0.81093	7	75	3.993603	T
3.246491	4.101817	68	-1.386294	0	-1.386294	6	0	4.029806	T
2.532903	3.677566	61	1.348073	1	-1.386294	7	15	4.129551	T
2.830268	3.876396	68	-1.386294	1	1.321756	7	60	4.385147	T
3.821004	3.896909	44	-1.386294	1	2.169054	7	40	4.684443	T
2.907447	3.396185	52	-1.386294	1	2.463853	7	10	5.143125	F
2.882564	3.77391	68	1.558145	1	1.558145	7	80	5.477509	T
3.471966	3.974998	68	0.438255	1	2.904165	7	20	5.582932	F

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