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arcene

active ARFF Publicly available Visibility: public Uploaded 21-05-2015 by Rafael Gomes Mantovani
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Author: Source: UCI Please cite: ARCENE's task is to distinguish cancer versus normal patterns from mass-spectrometric data. This is a two-class classification problem with continuous input variables. This dataset is one of 5 datasets of the NIPS 2003 feature selection challenge. Source: a. Original owners The data were obtained from two sources: The National Cancer Institute (NCI) and the Eastern Virginia Medical School (EVMS). All the data consist of mass-spectra obtained with the SELDI technique. The samples include patients with cancer (ovarian or prostate cancer), and healthy or control patients. b. Donor of database This version of the database was prepared for the NIPS 2003 variable and feature selection benchmark by Isabelle Guyon, 955 Creston Road, Berkeley, CA 94708, USA (isabelle '@' clopinet.com). Data Set Information: ARCENE was obtained by merging three mass-spectrometry datasets to obtain enough training and test data for a benchmark. The original features indicate the abundance of proteins in human sera having a given mass value. Based on those features one must separate cancer patients from healthy patients. We added a number of distractor feature called 'probes' having no predictive power. The order of the features and patterns were randomized. This dataset is one of five datasets used in the NIPS 2003 feature selection challenge.

10001 features

Class (target)	nominal	2 unique values 0 missing
V1	numeric	82 unique values 0 missing
V257	numeric	86 unique values 0 missing
V513	numeric	111 unique values 0 missing
V769	numeric	15 unique values 0 missing
V1025	numeric	45 unique values 0 missing
V1281	numeric	24 unique values 0 missing
V1537	numeric	112 unique values 0 missing
V1793	numeric	25 unique values 0 missing
V2049	numeric	58 unique values 0 missing
V2305	numeric	64 unique values 0 missing
V2561	numeric	17 unique values 0 missing
V2817	numeric	145 unique values 0 missing
V3073	numeric	110 unique values 0 missing
V3329	numeric	63 unique values 0 missing
V3585	numeric	92 unique values 0 missing
V3841	numeric	79 unique values 0 missing
V4097	numeric	85 unique values 0 missing
V4353	numeric	110 unique values 0 missing
V4609	numeric	44 unique values 0 missing
V4865	numeric	43 unique values 0 missing
V5121	numeric	113 unique values 0 missing
V5377	numeric	78 unique values 0 missing
V5633	numeric	114 unique values 0 missing
V5889	numeric	93 unique values 0 missing
V6145	numeric	154 unique values 0 missing
V6401	numeric	66 unique values 0 missing
V6657	numeric	8 unique values 0 missing
V6913	numeric	169 unique values 0 missing
V7169	numeric	82 unique values 0 missing
V7425	numeric	165 unique values 0 missing
V7681	numeric	73 unique values 0 missing
V7937	numeric	8 unique values 0 missing
V8193	numeric	16 unique values 0 missing
V8449	numeric	37 unique values 0 missing
V8705	numeric	1 unique values 0 missing
V8961	numeric	41 unique values 0 missing
V9217	numeric	48 unique values 0 missing
V9473	numeric	68 unique values 0 missing
V9729	numeric	43 unique values 0 missing
V9985	numeric	131 unique values 0 missing
V2	numeric	86 unique values 0 missing
V258	numeric	83 unique values 0 missing
V514	numeric	23 unique values 0 missing
V770	numeric	123 unique values 0 missing
V1026	numeric	73 unique values 0 missing
V1282	numeric	48 unique values 0 missing
V1538	numeric	111 unique values 0 missing
V1794	numeric	64 unique values 0 missing
V2050	numeric	58 unique values 0 missing
V2306	numeric	41 unique values 0 missing
V2562	numeric	89 unique values 0 missing
V2818	numeric	108 unique values 0 missing
V3074	numeric	70 unique values 0 missing
V3330	numeric	56 unique values 0 missing
V3586	numeric	100 unique values 0 missing
V3842	numeric	100 unique values 0 missing
V4098	numeric	59 unique values 0 missing
V4354	numeric	83 unique values 0 missing
V4610	numeric	57 unique values 0 missing
V4866	numeric	101 unique values 0 missing
V5122	numeric	166 unique values 0 missing
V5378	numeric	96 unique values 0 missing
V5634	numeric	93 unique values 0 missing
V5890	numeric	91 unique values 0 missing
V6146	numeric	150 unique values 0 missing
V6402	numeric	68 unique values 0 missing
V6658	numeric	158 unique values 0 missing
V6914	numeric	156 unique values 0 missing
V7170	numeric	68 unique values 0 missing
V7426	numeric	52 unique values 0 missing
V7682	numeric	174 unique values 0 missing
V7938	numeric	42 unique values 0 missing
V8194	numeric	126 unique values 0 missing
V8450	numeric	105 unique values 0 missing
V8706	numeric	46 unique values 0 missing
V8962	numeric	131 unique values 0 missing
V9218	numeric	58 unique values 0 missing
V9474	numeric	134 unique values 0 missing
V9730	numeric	50 unique values 0 missing
V9986	numeric	111 unique values 0 missing
V3	numeric	98 unique values 0 missing
V259	numeric	72 unique values 0 missing
V515	numeric	77 unique values 0 missing
V771	numeric	79 unique values 0 missing
V1027	numeric	110 unique values 0 missing
V1283	numeric	112 unique values 0 missing
V1539	numeric	121 unique values 0 missing
V1795	numeric	41 unique values 0 missing
V2051	numeric	57 unique values 0 missing
V2307	numeric	32 unique values 0 missing
V2563	numeric	25 unique values 0 missing
V2819	numeric	85 unique values 0 missing
V3075	numeric	121 unique values 0 missing
V3331	numeric	3 unique values 0 missing
V3587	numeric	6 unique values 0 missing
V3843	numeric	15 unique values 0 missing
V4099	numeric	77 unique values 0 missing
V4355	numeric	5 unique values 0 missing
V4611	numeric	136 unique values 0 missing
V4867	numeric	19 unique values 0 missing
V5123	numeric	157 unique values 0 missing
V5379	numeric	50 unique values 0 missing
V5635	numeric	44 unique values 0 missing
V5891	numeric	21 unique values 0 missing
V6147	numeric	8 unique values 0 missing
V6403	numeric	51 unique values 0 missing
V6659	numeric	114 unique values 0 missing
V6915	numeric	117 unique values 0 missing
V7171	numeric	84 unique values 0 missing
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V9475	numeric	71 unique values 0 missing
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V4	numeric	168 unique values 0 missing
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V772	numeric	71 unique values 0 missing
V1028	numeric	57 unique values 0 missing
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V2052	numeric	54 unique values 0 missing
V2308	numeric	40 unique values 0 missing
V2564	numeric	75 unique values 0 missing
V2820	numeric	116 unique values 0 missing
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V3332	numeric	59 unique values 0 missing
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V4100	numeric	74 unique values 0 missing
V4356	numeric	101 unique values 0 missing
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V5124	numeric	41 unique values 0 missing
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V4102	numeric	53 unique values 0 missing
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V5382	numeric	3 unique values 0 missing
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V6150	numeric	26 unique values 0 missing
V6406	numeric	94 unique values 0 missing
V6662	numeric	82 unique values 0 missing
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V7430	numeric	93 unique values 0 missing
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V8198	numeric	76 unique values 0 missing
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V8966	numeric	97 unique values 0 missing
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V3591	numeric	118 unique values 0 missing
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V4359	numeric	41 unique values 0 missing
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V5127	numeric	73 unique values 0 missing
V5383	numeric	113 unique values 0 missing
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V5895	numeric	44 unique values 0 missing
V6151	numeric	24 unique values 0 missing
V6407	numeric	79 unique values 0 missing
V6663	numeric	64 unique values 0 missing
V6919	numeric	127 unique values 0 missing
V7175	numeric	35 unique values 0 missing
V7431	numeric	39 unique values 0 missing
V7687	numeric	97 unique values 0 missing
V7943	numeric	75 unique values 0 missing
V8199	numeric	157 unique values 0 missing
V8455	numeric	93 unique values 0 missing
V8711	numeric	103 unique values 0 missing
V8967	numeric	127 unique values 0 missing
V9223	numeric	38 unique values 0 missing
V9479	numeric	152 unique values 0 missing
V9735	numeric	152 unique values 0 missing
V9991	numeric	164 unique values 0 missing
V8	numeric	38 unique values 0 missing
V264	numeric	10 unique values 0 missing
V520	numeric	4 unique values 0 missing
V776	numeric	33 unique values 0 missing
V1032	numeric	82 unique values 0 missing
V1288	numeric	112 unique values 0 missing
V1544	numeric	78 unique values 0 missing
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V2312	numeric	74 unique values 0 missing
V2568	numeric	123 unique values 0 missing
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V3080	numeric	107 unique values 0 missing
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V3592	numeric	51 unique values 0 missing
V3848	numeric	49 unique values 0 missing
V4104	numeric	89 unique values 0 missing
V4360	numeric	98 unique values 0 missing
V4616	numeric	73 unique values 0 missing
V4872	numeric	13 unique values 0 missing
V5128	numeric	156 unique values 0 missing
V5384	numeric	34 unique values 0 missing
V5640	numeric	75 unique values 0 missing
V5896	numeric	168 unique values 0 missing
V6152	numeric	47 unique values 0 missing
V6408	numeric	99 unique values 0 missing
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V6920	numeric	55 unique values 0 missing
V7176	numeric	49 unique values 0 missing
V7432	numeric	22 unique values 0 missing
V7688	numeric	59 unique values 0 missing
V7944	numeric	97 unique values 0 missing
V8200	numeric	103 unique values 0 missing
V8456	numeric	33 unique values 0 missing
V8712	numeric	34 unique values 0 missing
V8968	numeric	94 unique values 0 missing
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V9480	numeric	30 unique values 0 missing
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V9	numeric	95 unique values 0 missing
V265	numeric	48 unique values 0 missing
V521	numeric	126 unique values 0 missing
V777	numeric	61 unique values 0 missing
V1033	numeric	85 unique values 0 missing
V1289	numeric	100 unique values 0 missing
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V1801	numeric	41 unique values 0 missing
V2057	numeric	136 unique values 0 missing
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V2569	numeric	26 unique values 0 missing
V2825	numeric	30 unique values 0 missing
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V3337	numeric	37 unique values 0 missing
V3593	numeric	135 unique values 0 missing
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V4105	numeric	12 unique values 0 missing
V4361	numeric	71 unique values 0 missing
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V5129	numeric	29 unique values 0 missing
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V5897	numeric	79 unique values 0 missing
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V7433	numeric	9 unique values 0 missing
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V8201	numeric	91 unique values 0 missing
V8457	numeric	105 unique values 0 missing
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V2314	numeric	176 unique values 0 missing
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V8714	numeric	97 unique values 0 missing
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V9482	numeric	89 unique values 0 missing
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V11	numeric	77 unique values 0 missing
V267	numeric	82 unique values 0 missing
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V779	numeric	98 unique values 0 missing
V1035	numeric	27 unique values 0 missing
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V1547	numeric	66 unique values 0 missing
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V2571	numeric	59 unique values 0 missing
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V3339	numeric	43 unique values 0 missing
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V7435	numeric	135 unique values 0 missing
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V524	numeric	48 unique values 0 missing
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V1292	numeric	106 unique values 0 missing
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V2060	numeric	40 unique values 0 missing
V2316	numeric	131 unique values 0 missing
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V2828	numeric	74 unique values 0 missing
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V4620	numeric	86 unique values 0 missing
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V5388	numeric	103 unique values 0 missing
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V5900	numeric	153 unique values 0 missing
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V2317	numeric	58 unique values 0 missing
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V9743	numeric	88 unique values 0 missing
V9999	numeric	108 unique values 0 missing
V16	numeric	95 unique values 0 missing
V272	numeric	51 unique values 0 missing
V528	numeric	154 unique values 0 missing
V784	numeric	69 unique values 0 missing
V1040	numeric	25 unique values 0 missing
V1296	numeric	98 unique values 0 missing
V1552	numeric	82 unique values 0 missing
V1808	numeric	146 unique values 0 missing
V2064	numeric	48 unique values 0 missing
V2320	numeric	114 unique values 0 missing
V2576	numeric	169 unique values 0 missing
V2832	numeric	119 unique values 0 missing
V3088	numeric	12 unique values 0 missing
V3344	numeric	36 unique values 0 missing
V3600	numeric	133 unique values 0 missing
V3856	numeric	8 unique values 0 missing
V4112	numeric	102 unique values 0 missing
V4368	numeric	163 unique values 0 missing
V4624	numeric	83 unique values 0 missing
V4880	numeric	64 unique values 0 missing
V5136	numeric	97 unique values 0 missing
V5392	numeric	86 unique values 0 missing
V5648	numeric	50 unique values 0 missing
V5904	numeric	73 unique values 0 missing
V6160	numeric	68 unique values 0 missing
V6416	numeric	39 unique values 0 missing
V6672	numeric	29 unique values 0 missing
V6928	numeric	83 unique values 0 missing
V7184	numeric	100 unique values 0 missing
V7440	numeric	61 unique values 0 missing
V7696	numeric	38 unique values 0 missing
V7952	numeric	81 unique values 0 missing
V8208	numeric	94 unique values 0 missing
V8464	numeric	127 unique values 0 missing
V8720	numeric	50 unique values 0 missing
V8976	numeric	32 unique values 0 missing
V9232	numeric	97 unique values 0 missing
V9488	numeric	119 unique values 0 missing
V9744	numeric	157 unique values 0 missing
V10000	numeric	153 unique values 0 missing
V17	numeric	33 unique values 0 missing
V273	numeric	116 unique values 0 missing
V529	numeric	40 unique values 0 missing
V785	numeric	47 unique values 0 missing
V1041	numeric	11 unique values 0 missing
V1297	numeric	110 unique values 0 missing
V1553	numeric	52 unique values 0 missing
V1809	numeric	89 unique values 0 missing
V2065	numeric	49 unique values 0 missing
V2321	numeric	42 unique values 0 missing
V2577	numeric	102 unique values 0 missing
V2833	numeric	57 unique values 0 missing
V3089	numeric	29 unique values 0 missing
V3345	numeric	42 unique values 0 missing
V3601	numeric	55 unique values 0 missing
V3857	numeric	59 unique values 0 missing
V4113	numeric	166 unique values 0 missing
V4369	numeric	145 unique values 0 missing
V4625	numeric	164 unique values 0 missing
V4881	numeric	48 unique values 0 missing
V5137	numeric	47 unique values 0 missing
V5393	numeric	156 unique values 0 missing
V5649	numeric	105 unique values 0 missing
V5905	numeric	103 unique values 0 missing
V6161	numeric	92 unique values 0 missing
V6417	numeric	52 unique values 0 missing
V6673	numeric	38 unique values 0 missing
V6929	numeric	69 unique values 0 missing
V7185	numeric	153 unique values 0 missing
V7441	numeric	148 unique values 0 missing
V7697	numeric	84 unique values 0 missing
V7953	numeric	61 unique values 0 missing
V8209	numeric	105 unique values 0 missing
V8465	numeric	108 unique values 0 missing
V8721	numeric	136 unique values 0 missing
V8977	numeric	159 unique values 0 missing
V9233	numeric	119 unique values 0 missing
V9489	numeric	86 unique values 0 missing
V9745	numeric	27 unique values 0 missing
V18	numeric	6 unique values 0 missing
V274	numeric	64 unique values 0 missing
V530	numeric	139 unique values 0 missing
V786	numeric	25 unique values 0 missing
V1042	numeric	31 unique values 0 missing
V1298	numeric	79 unique values 0 missing
V1554	numeric	16 unique values 0 missing
V1810	numeric	83 unique values 0 missing
V2066	numeric	76 unique values 0 missing
V2322	numeric	47 unique values 0 missing
V2578	numeric	25 unique values 0 missing
V2834	numeric	34 unique values 0 missing
V3090	numeric	91 unique values 0 missing
V3346	numeric	141 unique values 0 missing
V3602	numeric	86 unique values 0 missing
V3858	numeric	111 unique values 0 missing
V4114	numeric	104 unique values 0 missing
V4370	numeric	120 unique values 0 missing
V4626	numeric	82 unique values 0 missing
V4882	numeric	144 unique values 0 missing
V5138	numeric	4 unique values 0 missing
V5394	numeric	26 unique values 0 missing
V5650	numeric	28 unique values 0 missing
V5906	numeric	29 unique values 0 missing
V6162	numeric	87 unique values 0 missing
V6418	numeric	29 unique values 0 missing
V6674	numeric	63 unique values 0 missing
V6930	numeric	10 unique values 0 missing
V7186	numeric	87 unique values 0 missing
V7442	numeric	102 unique values 0 missing
V7698	numeric	115 unique values 0 missing
V7954	numeric	152 unique values 0 missing
V8210	numeric	37 unique values 0 missing
V8466	numeric	45 unique values 0 missing
V8722	numeric	168 unique values 0 missing
V8978	numeric	67 unique values 0 missing
V9234	numeric	74 unique values 0 missing
V9490	numeric	98 unique values 0 missing
V9746	numeric	23 unique values 0 missing
V19	numeric	147 unique values 0 missing
V275	numeric	76 unique values 0 missing
V531	numeric	8 unique values 0 missing
V787	numeric	53 unique values 0 missing
V1043	numeric	124 unique values 0 missing
V1299	numeric	65 unique values 0 missing
V1555	numeric	88 unique values 0 missing
V1811	numeric	42 unique values 0 missing
V2067	numeric	166 unique values 0 missing
V2323	numeric	50 unique values 0 missing
V2579	numeric	19 unique values 0 missing
V2835	numeric	43 unique values 0 missing
V3091	numeric	149 unique values 0 missing
V3347	numeric	158 unique values 0 missing
V3603	numeric	43 unique values 0 missing
V3859	numeric	40 unique values 0 missing
V4115	numeric	111 unique values 0 missing
V4371	numeric	84 unique values 0 missing
V4627	numeric	85 unique values 0 missing
V4883	numeric	41 unique values 0 missing
V5139	numeric	15 unique values 0 missing
V5395	numeric	101 unique values 0 missing
V5651	numeric	39 unique values 0 missing
V5907	numeric	112 unique values 0 missing
V6163	numeric	92 unique values 0 missing
V6419	numeric	68 unique values 0 missing
V6675	numeric	95 unique values 0 missing
V6931	numeric	91 unique values 0 missing
V7187	numeric	102 unique values 0 missing
V7443	numeric	94 unique values 0 missing
V7699	numeric	59 unique values 0 missing
V7955	numeric	132 unique values 0 missing
V8211	numeric	7 unique values 0 missing
V8467	numeric	64 unique values 0 missing
V8723	numeric	150 unique values 0 missing
V8979	numeric	7 unique values 0 missing
V9235	numeric	145 unique values 0 missing
V9491	numeric	43 unique values 0 missing
V9747	numeric	101 unique values 0 missing
V20	numeric	32 unique values 0 missing
V276	numeric	78 unique values 0 missing
V532	numeric	87 unique values 0 missing
V788	numeric	115 unique values 0 missing
V1044	numeric	30 unique values 0 missing
V1300	numeric	49 unique values 0 missing
V1556	numeric	155 unique values 0 missing
V1812	numeric	119 unique values 0 missing
V2068	numeric	9 unique values 0 missing
V2324	numeric	64 unique values 0 missing
V2580	numeric	165 unique values 0 missing
V2836	numeric	69 unique values 0 missing
V3092	numeric	50 unique values 0 missing
V3348	numeric	135 unique values 0 missing
V3604	numeric	93 unique values 0 missing
V3860	numeric	96 unique values 0 missing
V4116	numeric	119 unique values 0 missing
V4372	numeric	111 unique values 0 missing
V4628	numeric	37 unique values 0 missing
V4884	numeric	127 unique values 0 missing
V5140	numeric	115 unique values 0 missing
V5396	numeric	36 unique values 0 missing
V5652	numeric	133 unique values 0 missing
V5908	numeric	86 unique values 0 missing
V6164	numeric	59 unique values 0 missing
V6420	numeric	113 unique values 0 missing
V6676	numeric	11 unique values 0 missing
V6932	numeric	44 unique values 0 missing
V7188	numeric	173 unique values 0 missing
V7444	numeric	152 unique values 0 missing
V7700	numeric	119 unique values 0 missing
V7956	numeric	46 unique values 0 missing
V8212	numeric	10 unique values 0 missing
V8468	numeric	68 unique values 0 missing
V8724	numeric	93 unique values 0 missing
V8980	numeric	58 unique values 0 missing
V9236	numeric	170 unique values 0 missing
V9492	numeric	120 unique values 0 missing
V9748	numeric	20 unique values 0 missing
V21	numeric	36 unique values 0 missing
V277	numeric	136 unique values 0 missing
V533	numeric	57 unique values 0 missing
V789	numeric	16 unique values 0 missing
V1045	numeric	69 unique values 0 missing
V1301	numeric	137 unique values 0 missing
V1557	numeric	24 unique values 0 missing
V1813	numeric	108 unique values 0 missing
V2069	numeric	82 unique values 0 missing
V2325	numeric	112 unique values 0 missing
V2581	numeric	52 unique values 0 missing
V2837	numeric	139 unique values 0 missing
V3093	numeric	29 unique values 0 missing
V3349	numeric	55 unique values 0 missing
V3605	numeric	124 unique values 0 missing
V3861	numeric	108 unique values 0 missing
V4117	numeric	123 unique values 0 missing
V4373	numeric	50 unique values 0 missing
V4629	numeric	108 unique values 0 missing
V4885	numeric	48 unique values 0 missing
V5141	numeric	14 unique values 0 missing
V5397	numeric	12 unique values 0 missing
V5653	numeric	148 unique values 0 missing
V5909	numeric	80 unique values 0 missing
V6165	numeric	34 unique values 0 missing
V6421	numeric	26 unique values 0 missing
V6677	numeric	77 unique values 0 missing
V6933	numeric	154 unique values 0 missing
V7189	numeric	91 unique values 0 missing
V7445	numeric	112 unique values 0 missing
V7701	numeric	81 unique values 0 missing
V7957	numeric	3 unique values 0 missing
V8213	numeric	147 unique values 0 missing
V8469	numeric	90 unique values 0 missing
V8725	numeric	117 unique values 0 missing
V8981	numeric	126 unique values 0 missing
V9237	numeric	112 unique values 0 missing
V9493	numeric	152 unique values 0 missing
V9749	numeric	46 unique values 0 missing
V22	numeric	56 unique values 0 missing
V278	numeric	3 unique values 0 missing
V534	numeric	97 unique values 0 missing
V790	numeric	88 unique values 0 missing
V1046	numeric	33 unique values 0 missing
V1302	numeric	3 unique values 0 missing
V1558	numeric	68 unique values 0 missing
V1814	numeric	81 unique values 0 missing
V2070	numeric	104 unique values 0 missing
V2326	numeric	54 unique values 0 missing
V2582	numeric	34 unique values 0 missing
V2838	numeric	79 unique values 0 missing
V3094	numeric	66 unique values 0 missing
V3350	numeric	126 unique values 0 missing
V3606	numeric	35 unique values 0 missing
V3862	numeric	42 unique values 0 missing
V4118	numeric	61 unique values 0 missing
V4374	numeric	159 unique values 0 missing
V4630	numeric	38 unique values 0 missing
V4886	numeric	154 unique values 0 missing
V5142	numeric	88 unique values 0 missing
V5398	numeric	7 unique values 0 missing
V5654	numeric	24 unique values 0 missing
V5910	numeric	90 unique values 0 missing
V6166	numeric	76 unique values 0 missing
V6422	numeric	44 unique values 0 missing
V6678	numeric	13 unique values 0 missing
V6934	numeric	134 unique values 0 missing
V7190	numeric	49 unique values 0 missing
V7446	numeric	143 unique values 0 missing
V7702	numeric	86 unique values 0 missing
V7958	numeric	65 unique values 0 missing
V8214	numeric	39 unique values 0 missing
V8470	numeric	14 unique values 0 missing
V8726	numeric	55 unique values 0 missing
V8982	numeric	8 unique values 0 missing
V9238	numeric	107 unique values 0 missing
V9494	numeric	82 unique values 0 missing
V9750	numeric	152 unique values 0 missing
V23	numeric	52 unique values 0 missing
V279	numeric	74 unique values 0 missing
V535	numeric	31 unique values 0 missing
V791	numeric	65 unique values 0 missing
V1047	numeric	112 unique values 0 missing
V1303	numeric	13 unique values 0 missing
V1559	numeric	83 unique values 0 missing
V1815	numeric	87 unique values 0 missing
V2071	numeric	140 unique values 0 missing
V2327	numeric	38 unique values 0 missing
V2583	numeric	147 unique values 0 missing
V2839	numeric	34 unique values 0 missing
V3095	numeric	38 unique values 0 missing
V3351	numeric	60 unique values 0 missing
V3607	numeric	42 unique values 0 missing
V3863	numeric	101 unique values 0 missing
V4119	numeric	66 unique values 0 missing
V4375	numeric	117 unique values 0 missing
V4631	numeric	93 unique values 0 missing
V4887	numeric	87 unique values 0 missing
V5143	numeric	110 unique values 0 missing
V5399	numeric	75 unique values 0 missing
V5655	numeric	73 unique values 0 missing
V5911	numeric	70 unique values 0 missing
V6167	numeric	160 unique values 0 missing
V6423	numeric	56 unique values 0 missing
V6679	numeric	59 unique values 0 missing
V6935	numeric	48 unique values 0 missing
V7191	numeric	125 unique values 0 missing
V7447	numeric	141 unique values 0 missing
V7703	numeric	41 unique values 0 missing
V7959	numeric	7 unique values 0 missing
V8215	numeric	37 unique values 0 missing
V8471	numeric	69 unique values 0 missing
V8727	numeric	47 unique values 0 missing
V8983	numeric	104 unique values 0 missing
V9239	numeric	87 unique values 0 missing
V9495	numeric	35 unique values 0 missing
V9751	numeric	74 unique values 0 missing
V24	numeric	78 unique values 0 missing
V280	numeric	73 unique values 0 missing
V536	numeric	29 unique values 0 missing
V792	numeric	7 unique values 0 missing
V1048	numeric	3 unique values 0 missing
V1304	numeric	71 unique values 0 missing
V1560	numeric	84 unique values 0 missing
V1816	numeric	92 unique values 0 missing
V2072	numeric	162 unique values 0 missing
V2328	numeric	28 unique values 0 missing
V2584	numeric	1 unique values 0 missing
V2840	numeric	75 unique values 0 missing
V3096	numeric	29 unique values 0 missing
V3352	numeric	67 unique values 0 missing
V3608	numeric	50 unique values 0 missing
V3864	numeric	73 unique values 0 missing
V4120	numeric	94 unique values 0 missing
V4376	numeric	79 unique values 0 missing
V4632	numeric	134 unique values 0 missing
V4888	numeric	15 unique values 0 missing
V5144	numeric	56 unique values 0 missing
V5400	numeric	43 unique values 0 missing
V5656	numeric	6 unique values 0 missing
V5912	numeric	7 unique values 0 missing
V6168	numeric	10 unique values 0 missing
V6424	numeric	39 unique values 0 missing
V6680	numeric	149 unique values 0 missing
V6936	numeric	95 unique values 0 missing
V7192	numeric	94 unique values 0 missing
V7448	numeric	2 unique values 0 missing
V7704	numeric	35 unique values 0 missing
V7960	numeric	61 unique values 0 missing
V8216	numeric	38 unique values 0 missing
V8472	numeric	97 unique values 0 missing
V8728	numeric	92 unique values 0 missing
V8984	numeric	66 unique values 0 missing
V9240	numeric	147 unique values 0 missing
V9496	numeric	35 unique values 0 missing
V9752	numeric	35 unique values 0 missing
V25	numeric	110 unique values 0 missing
V281	numeric	156 unique values 0 missing
V537	numeric	97 unique values 0 missing
V793	numeric	10 unique values 0 missing
V1049	numeric	13 unique values 0 missing
V1305	numeric	33 unique values 0 missing
V1561	numeric	97 unique values 0 missing
V1817	numeric	73 unique values 0 missing
V2073	numeric	43 unique values 0 missing
V2329	numeric	147 unique values 0 missing
V2585	numeric	95 unique values 0 missing
V2841	numeric	87 unique values 0 missing
V3097	numeric	75 unique values 0 missing
V3353	numeric	86 unique values 0 missing
V3609	numeric	126 unique values 0 missing
V3865	numeric	55 unique values 0 missing
V4121	numeric	87 unique values 0 missing
V4377	numeric	77 unique values 0 missing
V4633	numeric	131 unique values 0 missing
V4889	numeric	47 unique values 0 missing
V5145	numeric	62 unique values 0 missing
V5401	numeric	63 unique values 0 missing
V5657	numeric	78 unique values 0 missing
V5913	numeric	61 unique values 0 missing
V6169	numeric	157 unique values 0 missing
V6425	numeric	107 unique values 0 missing
V6681	numeric	49 unique values 0 missing
V6937	numeric	137 unique values 0 missing
V7193	numeric	72 unique values 0 missing
V7449	numeric	32 unique values 0 missing
V7705	numeric	93 unique values 0 missing
V7961	numeric	54 unique values 0 missing
V8217	numeric	69 unique values 0 missing
V8473	numeric	44 unique values 0 missing
V8729	numeric	115 unique values 0 missing
V8985	numeric	59 unique values 0 missing
V9241	numeric	112 unique values 0 missing
V9497	numeric	66 unique values 0 missing
V9753	numeric	80 unique values 0 missing
V26	numeric	135 unique values 0 missing
V282	numeric	34 unique values 0 missing
V538	numeric	155 unique values 0 missing
V794	numeric	60 unique values 0 missing
V1050	numeric	157 unique values 0 missing
V1306	numeric	71 unique values 0 missing
V1562	numeric	36 unique values 0 missing
V1818	numeric	57 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

200

Number of instances (rows) of the dataset.

NumberOfFeatures

10001

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

10000

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile2SkewnessOfNumericAtts

1.69

Second quartile (Median) of skewness among attributes of the numeric type.

REPTreeDepth3Kappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

0.14

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

542.85

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

Quartile2StdDevOfNumericAtts

41.39

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1AUC

0.64

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

50.01

Number of attributes divided by the number of instances.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfBinaryFeatures

0.01

Percentage of binary attributes.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1ErrRate

0.35

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-1.92

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3KurtosisOfNumericAtts

12.82

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.44

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

0.64

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

14.14

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3MeansOfNumericAtts

83.59

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.65

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2AUC

0.64

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

0.4

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxStdDevOfNumericAtts

315.39

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

99.99

Percentage of numeric attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

CfsSubsetEval_DecisionStumpErrRate

0.35

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2ErrRate

0.35

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

0.19

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.01

Percentage of nominal attributes.

Quartile3SkewnessOfNumericAtts

3.23

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.31

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2Kappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

0.64

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanKurtosisOfNumericAtts

14.2

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.7

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile1KurtosisOfNumericAtts

-0.36

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

83.38

Third quartile of standard deviation of attributes of the numeric type.

CfsSubsetEval_NaiveBayesAUC

0.65

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3AUC

0.64

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

0.4

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

71.07

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.31

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MeansOfNumericAtts

10.52

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.69

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesErrRate

0.35

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3ErrRate

0.35

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

0.19

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

0.38

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

0.36

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesKappa

0.31

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3Kappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

0.64

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1SkewnessOfNumericAtts

0.75

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_kNN1NAUC

0.65

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

0.4

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile1StdDevOfNumericAtts

22.3

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

0.69

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NErrRate

0.35

Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

kNN1NAUC

0.82

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

0.19

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

2.44

Mean skewness among attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.36

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NKappa

0.31

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

kNN1NErrRate

0.18

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

59.71

Mean standard deviation of attributes of the numeric type.

Quartile2KurtosisOfNumericAtts

3.04

Second quartile (Median) of kurtosis among attributes of the numeric type.

REPTreeDepth2Kappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

0.99

Entropy of the target attribute values.

kNN1NKappa

0.64

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassSize

112

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2MeansOfNumericAtts

30.93

Second quartile (Median) of means among attributes of the numeric type.

REPTreeDepth3AUC

0.69

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpAUC

0.58

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.74

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

REPTreeDepth3ErrRate

0.36

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

0.45

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

200

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Show all 107 properties

14 tasks

Supervised Classification on arcene

17 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class

Supervised Classification on arcene

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class

Supervised Classification on arcene

0 runs - estimation_procedure: 33% Holdout set - target_feature: Class

Clustering on arcene