Data
arcene

arcene

active ARFF Publicly available Visibility: public Uploaded 21-05-2015 by Rafael G. 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.

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V1296numeric98 unique values
0 missing
V1552numeric82 unique values
0 missing
V1808numeric146 unique values
0 missing
V2064numeric48 unique values
0 missing
V2320numeric114 unique values
0 missing
V2576numeric169 unique values
0 missing
V2832numeric119 unique values
0 missing
V3088numeric12 unique values
0 missing
V3344numeric36 unique values
0 missing
V3600numeric133 unique values
0 missing
V3856numeric8 unique values
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V4112numeric102 unique values
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V4368numeric163 unique values
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V4624numeric83 unique values
0 missing
V4880numeric64 unique values
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V5392numeric86 unique values
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0 missing
V5904numeric73 unique values
0 missing
V6160numeric68 unique values
0 missing
V6416numeric39 unique values
0 missing
V6672numeric29 unique values
0 missing
V6928numeric83 unique values
0 missing
V7184numeric100 unique values
0 missing
V7440numeric61 unique values
0 missing
V7696numeric38 unique values
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0 missing
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V8464numeric127 unique values
0 missing
V8720numeric50 unique values
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V8976numeric32 unique values
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0 missing
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0 missing
V10000numeric153 unique values
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V17numeric33 unique values
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V529numeric40 unique values
0 missing
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V1297numeric110 unique values
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V1809numeric89 unique values
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V2065numeric49 unique values
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V2321numeric42 unique values
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V2833numeric57 unique values
0 missing
V3089numeric29 unique values
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V3345numeric42 unique values
0 missing
V3601numeric55 unique values
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V3857numeric59 unique values
0 missing
V4113numeric166 unique values
0 missing
V4369numeric145 unique values
0 missing
V4625numeric164 unique values
0 missing
V4881numeric48 unique values
0 missing
V5137numeric47 unique values
0 missing
V5393numeric156 unique values
0 missing
V5649numeric105 unique values
0 missing
V5905numeric103 unique values
0 missing
V6161numeric92 unique values
0 missing
V6417numeric52 unique values
0 missing
V6673numeric38 unique values
0 missing
V6929numeric69 unique values
0 missing
V7185numeric153 unique values
0 missing
V7441numeric148 unique values
0 missing
V7697numeric84 unique values
0 missing
V7953numeric61 unique values
0 missing
V8209numeric105 unique values
0 missing
V8465numeric108 unique values
0 missing
V8721numeric136 unique values
0 missing
V8977numeric159 unique values
0 missing
V9233numeric119 unique values
0 missing
V9489numeric86 unique values
0 missing
V9745numeric27 unique values
0 missing
V18numeric6 unique values
0 missing
V274numeric64 unique values
0 missing
V530numeric139 unique values
0 missing
V786numeric25 unique values
0 missing
V1042numeric31 unique values
0 missing
V1298numeric79 unique values
0 missing
V1554numeric16 unique values
0 missing
V1810numeric83 unique values
0 missing
V2066numeric76 unique values
0 missing
V2322numeric47 unique values
0 missing
V2578numeric25 unique values
0 missing
V2834numeric34 unique values
0 missing
V3090numeric91 unique values
0 missing
V3346numeric141 unique values
0 missing
V3602numeric86 unique values
0 missing
V3858numeric111 unique values
0 missing
V4114numeric104 unique values
0 missing
V4370numeric120 unique values
0 missing
V4626numeric82 unique values
0 missing
V4882numeric144 unique values
0 missing
V5138numeric4 unique values
0 missing
V5394numeric26 unique values
0 missing
V5650numeric28 unique values
0 missing
V5906numeric29 unique values
0 missing
V6162numeric87 unique values
0 missing
V6418numeric29 unique values
0 missing
V6674numeric63 unique values
0 missing
V6930numeric10 unique values
0 missing
V7186numeric87 unique values
0 missing
V7442numeric102 unique values
0 missing
V7698numeric115 unique values
0 missing
V7954numeric152 unique values
0 missing
V8210numeric37 unique values
0 missing
V8466numeric45 unique values
0 missing
V8722numeric168 unique values
0 missing
V8978numeric67 unique values
0 missing
V9234numeric74 unique values
0 missing
V9490numeric98 unique values
0 missing
V9746numeric23 unique values
0 missing
V19numeric147 unique values
0 missing
V275numeric76 unique values
0 missing
V531numeric8 unique values
0 missing
V787numeric53 unique values
0 missing
V1043numeric124 unique values
0 missing
V1299numeric65 unique values
0 missing
V1555numeric88 unique values
0 missing
V1811numeric42 unique values
0 missing
V2067numeric166 unique values
0 missing
V2323numeric50 unique values
0 missing
V2579numeric19 unique values
0 missing
V2835numeric43 unique values
0 missing
V3091numeric149 unique values
0 missing
V3347numeric158 unique values
0 missing
V3603numeric43 unique values
0 missing
V3859numeric40 unique values
0 missing
V4115numeric111 unique values
0 missing
V4371numeric84 unique values
0 missing
V4627numeric85 unique values
0 missing
V4883numeric41 unique values
0 missing
V5139numeric15 unique values
0 missing
V5395numeric101 unique values
0 missing
V5651numeric39 unique values
0 missing
V5907numeric112 unique values
0 missing
V6163numeric92 unique values
0 missing
V6419numeric68 unique values
0 missing
V6675numeric95 unique values
0 missing
V6931numeric91 unique values
0 missing
V7187numeric102 unique values
0 missing
V7443numeric94 unique values
0 missing
V7699numeric59 unique values
0 missing
V7955numeric132 unique values
0 missing
V8211numeric7 unique values
0 missing
V8467numeric64 unique values
0 missing
V8723numeric150 unique values
0 missing
V8979numeric7 unique values
0 missing
V9235numeric145 unique values
0 missing
V9491numeric43 unique values
0 missing
V9747numeric101 unique values
0 missing
V20numeric32 unique values
0 missing
V276numeric78 unique values
0 missing
V532numeric87 unique values
0 missing
V788numeric115 unique values
0 missing
V1044numeric30 unique values
0 missing
V1300numeric49 unique values
0 missing
V1556numeric155 unique values
0 missing
V1812numeric119 unique values
0 missing
V2068numeric9 unique values
0 missing
V2324numeric64 unique values
0 missing
V2580numeric165 unique values
0 missing
V2836numeric69 unique values
0 missing
V3092numeric50 unique values
0 missing
V3348numeric135 unique values
0 missing
V3604numeric93 unique values
0 missing
V3860numeric96 unique values
0 missing
V4116numeric119 unique values
0 missing
V4372numeric111 unique values
0 missing
V4628numeric37 unique values
0 missing
V4884numeric127 unique values
0 missing
V5140numeric115 unique values
0 missing
V5396numeric36 unique values
0 missing
V5652numeric133 unique values
0 missing
V5908numeric86 unique values
0 missing
V6164numeric59 unique values
0 missing
V6420numeric113 unique values
0 missing
V6676numeric11 unique values
0 missing
V6932numeric44 unique values
0 missing
V7188numeric173 unique values
0 missing
V7444numeric152 unique values
0 missing
V7700numeric119 unique values
0 missing
V7956numeric46 unique values
0 missing
V8212numeric10 unique values
0 missing
V8468numeric68 unique values
0 missing
V8724numeric93 unique values
0 missing
V8980numeric58 unique values
0 missing
V9236numeric170 unique values
0 missing
V9492numeric120 unique values
0 missing
V9748numeric20 unique values
0 missing
V21numeric36 unique values
0 missing
V277numeric136 unique values
0 missing
V533numeric57 unique values
0 missing
V789numeric16 unique values
0 missing
V1045numeric69 unique values
0 missing
V1301numeric137 unique values
0 missing
V1557numeric24 unique values
0 missing
V1813numeric108 unique values
0 missing
V2069numeric82 unique values
0 missing
V2325numeric112 unique values
0 missing
V2581numeric52 unique values
0 missing
V2837numeric139 unique values
0 missing
V3093numeric29 unique values
0 missing
V3349numeric55 unique values
0 missing
V3605numeric124 unique values
0 missing
V3861numeric108 unique values
0 missing
V4117numeric123 unique values
0 missing
V4373numeric50 unique values
0 missing
V4629numeric108 unique values
0 missing
V4885numeric48 unique values
0 missing
V5141numeric14 unique values
0 missing
V5397numeric12 unique values
0 missing
V5653numeric148 unique values
0 missing
V5909numeric80 unique values
0 missing
V6165numeric34 unique values
0 missing
V6421numeric26 unique values
0 missing
V6677numeric77 unique values
0 missing
V6933numeric154 unique values
0 missing
V7189numeric91 unique values
0 missing
V7445numeric112 unique values
0 missing
V7701numeric81 unique values
0 missing
V7957numeric3 unique values
0 missing
V8213numeric147 unique values
0 missing
V8469numeric90 unique values
0 missing
V8725numeric117 unique values
0 missing
V8981numeric126 unique values
0 missing
V9237numeric112 unique values
0 missing
V9493numeric152 unique values
0 missing
V9749numeric46 unique values
0 missing
V22numeric56 unique values
0 missing
V278numeric3 unique values
0 missing
V534numeric97 unique values
0 missing
V790numeric88 unique values
0 missing
V1046numeric33 unique values
0 missing
V1302numeric3 unique values
0 missing
V1558numeric68 unique values
0 missing
V1814numeric81 unique values
0 missing
V2070numeric104 unique values
0 missing
V2326numeric54 unique values
0 missing
V2582numeric34 unique values
0 missing
V2838numeric79 unique values
0 missing
V3094numeric66 unique values
0 missing
V3350numeric126 unique values
0 missing
V3606numeric35 unique values
0 missing
V3862numeric42 unique values
0 missing
V4118numeric61 unique values
0 missing
V4374numeric159 unique values
0 missing
V4630numeric38 unique values
0 missing
V4886numeric154 unique values
0 missing
V5142numeric88 unique values
0 missing
V5398numeric7 unique values
0 missing
V5654numeric24 unique values
0 missing
V5910numeric90 unique values
0 missing
V6166numeric76 unique values
0 missing
V6422numeric44 unique values
0 missing
V6678numeric13 unique values
0 missing
V6934numeric134 unique values
0 missing
V7190numeric49 unique values
0 missing
V7446numeric143 unique values
0 missing
V7702numeric86 unique values
0 missing
V7958numeric65 unique values
0 missing
V8214numeric39 unique values
0 missing
V8470numeric14 unique values
0 missing
V8726numeric55 unique values
0 missing
V8982numeric8 unique values
0 missing
V9238numeric107 unique values
0 missing
V9494numeric82 unique values
0 missing
V9750numeric152 unique values
0 missing
V23numeric52 unique values
0 missing
V279numeric74 unique values
0 missing
V535numeric31 unique values
0 missing
V791numeric65 unique values
0 missing
V1047numeric112 unique values
0 missing
V1303numeric13 unique values
0 missing
V1559numeric83 unique values
0 missing
V1815numeric87 unique values
0 missing
V2071numeric140 unique values
0 missing
V2327numeric38 unique values
0 missing
V2583numeric147 unique values
0 missing
V2839numeric34 unique values
0 missing
V3095numeric38 unique values
0 missing
V3351numeric60 unique values
0 missing
V3607numeric42 unique values
0 missing
V3863numeric101 unique values
0 missing
V4119numeric66 unique values
0 missing
V4375numeric117 unique values
0 missing
V4631numeric93 unique values
0 missing
V4887numeric87 unique values
0 missing
V5143numeric110 unique values
0 missing
V5399numeric75 unique values
0 missing
V5655numeric73 unique values
0 missing
V5911numeric70 unique values
0 missing
V6167numeric160 unique values
0 missing
V6423numeric56 unique values
0 missing
V6679numeric59 unique values
0 missing
V6935numeric48 unique values
0 missing
V7191numeric125 unique values
0 missing
V7447numeric141 unique values
0 missing
V7703numeric41 unique values
0 missing
V7959numeric7 unique values
0 missing
V8215numeric37 unique values
0 missing
V8471numeric69 unique values
0 missing
V8727numeric47 unique values
0 missing
V8983numeric104 unique values
0 missing
V9239numeric87 unique values
0 missing
V9495numeric35 unique values
0 missing
V9751numeric74 unique values
0 missing
V24numeric78 unique values
0 missing
V280numeric73 unique values
0 missing
V536numeric29 unique values
0 missing
V792numeric7 unique values
0 missing
V1048numeric3 unique values
0 missing
V1304numeric71 unique values
0 missing
V1560numeric84 unique values
0 missing
V1816numeric92 unique values
0 missing
V2072numeric162 unique values
0 missing
V2328numeric28 unique values
0 missing
V2584numeric1 unique values
0 missing
V2840numeric75 unique values
0 missing
V3096numeric29 unique values
0 missing
V3352numeric67 unique values
0 missing
V3608numeric50 unique values
0 missing
V3864numeric73 unique values
0 missing
V4120numeric94 unique values
0 missing
V4376numeric79 unique values
0 missing
V4632numeric134 unique values
0 missing
V4888numeric15 unique values
0 missing
V5144numeric56 unique values
0 missing
V5400numeric43 unique values
0 missing
V5656numeric6 unique values
0 missing
V5912numeric7 unique values
0 missing
V6168numeric10 unique values
0 missing
V6424numeric39 unique values
0 missing
V6680numeric149 unique values
0 missing
V6936numeric95 unique values
0 missing
V7192numeric94 unique values
0 missing
V7448numeric2 unique values
0 missing
V7704numeric35 unique values
0 missing
V7960numeric61 unique values
0 missing
V8216numeric38 unique values
0 missing
V8472numeric97 unique values
0 missing
V8728numeric92 unique values
0 missing
V8984numeric66 unique values
0 missing
V9240numeric147 unique values
0 missing
V9496numeric35 unique values
0 missing
V9752numeric35 unique values
0 missing
V25numeric110 unique values
0 missing
V281numeric156 unique values
0 missing
V537numeric97 unique values
0 missing
V793numeric10 unique values
0 missing
V1049numeric13 unique values
0 missing
V1305numeric33 unique values
0 missing
V1561numeric97 unique values
0 missing
V1817numeric73 unique values
0 missing
V2073numeric43 unique values
0 missing
V2329numeric147 unique values
0 missing
V2585numeric95 unique values
0 missing
V2841numeric87 unique values
0 missing
V3097numeric75 unique values
0 missing
V3353numeric86 unique values
0 missing
V3609numeric126 unique values
0 missing
V3865numeric55 unique values
0 missing
V4121numeric87 unique values
0 missing
V4377numeric77 unique values
0 missing
V4633numeric131 unique values
0 missing
V4889numeric47 unique values
0 missing
V5145numeric62 unique values
0 missing
V5401numeric63 unique values
0 missing
V5657numeric78 unique values
0 missing
V5913numeric61 unique values
0 missing
V6169numeric157 unique values
0 missing
V6425numeric107 unique values
0 missing
V6681numeric49 unique values
0 missing
V6937numeric137 unique values
0 missing
V7193numeric72 unique values
0 missing
V7449numeric32 unique values
0 missing
V7705numeric93 unique values
0 missing
V7961numeric54 unique values
0 missing
V8217numeric69 unique values
0 missing
V8473numeric44 unique values
0 missing
V8729numeric115 unique values
0 missing
V8985numeric59 unique values
0 missing
V9241numeric112 unique values
0 missing
V9497numeric66 unique values
0 missing
V9753numeric80 unique values
0 missing
V26numeric135 unique values
0 missing
V282numeric34 unique values
0 missing
V538numeric155 unique values
0 missing
V794numeric60 unique values
0 missing
V1050numeric157 unique values
0 missing
V1306numeric71 unique values
0 missing
V1562numeric36 unique values
0 missing
V1818numeric57 unique values
0 missing

62 properties

200
Number of instances (rows) of the dataset.
10001
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
10000
Number of numeric attributes.
1
Number of nominal attributes.
0.01
Percentage of binary attributes.
41.39
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.74
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
200
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
12.82
Third quartile of kurtosis among attributes of the numeric type.
542.85
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
99.99
Percentage of numeric attributes.
83.59
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
0.01
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
-1.92
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
3.23
Third quartile of skewness among attributes of the numeric type.
14.14
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
-0.36
First quartile of kurtosis among attributes of the numeric type.
83.38
Third quartile of standard deviation of attributes of the numeric type.
315.39
Maximum standard deviation of attributes of the numeric type.
44
Percentage of instances belonging to the least frequent class.
10.52
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
88
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
14.2
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
0.75
First quartile of skewness among attributes of the numeric type.
71.07
Mean of means among attributes of the numeric type.
22.3
First quartile of standard deviation of attributes of the numeric type.
0.44
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
0.99
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
3.04
Second quartile (Median) of kurtosis among attributes of the numeric type.
50.01
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
30.93
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
2.44
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
56
Percentage of instances belonging to the most frequent class.
59.71
Mean standard deviation of attributes of the numeric type.
1.69
Second quartile (Median) of skewness among attributes of the numeric type.
112
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

5 tasks

16 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - target_feature: Class
Define a new task