Data
rsctc2010_2

rsctc2010_2

active ARFF Publicly available Visibility: public Uploaded 07-10-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: Data from the RSCTC 2010 Discovery Challenge. Example datasets for 6 different problems of DNA microarray data analysis and classification. All datasets contain gene expression data characterized by values of 20,000 - 65,000 attributes. Samples are assigned to several (2-10) classes. All attributes are numeric and represent measurements from DNA microarrays. Source: http://tunedit.org/challenge/RSCTC-2010-A

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Var8numeric93 unique values
0 missing
Var264numeric100 unique values
0 missing
Var520numeric94 unique values
0 missing
Var776numeric96 unique values
0 missing
Var1032numeric90 unique values
0 missing
Var1288numeric85 unique values
0 missing
Var1544numeric93 unique values
0 missing
Var1800numeric97 unique values
0 missing
Var2056numeric95 unique values
0 missing
Var2312numeric93 unique values
0 missing
Var2568numeric97 unique values
0 missing
Var2824numeric94 unique values
0 missing
Var3080numeric100 unique values
0 missing
Var3336numeric96 unique values
0 missing
Var3592numeric99 unique values
0 missing
Var3848numeric95 unique values
0 missing
Var4104numeric92 unique values
0 missing
Var4360numeric88 unique values
0 missing
Var4616numeric97 unique values
0 missing
Var4872numeric94 unique values
0 missing
Var5128numeric83 unique values
0 missing
Var5384numeric89 unique values
0 missing
Var5640numeric93 unique values
0 missing
Var5896numeric93 unique values
0 missing
Var6152numeric100 unique values
0 missing
Var6408numeric87 unique values
0 missing
Var6664numeric98 unique values
0 missing
Var6920numeric92 unique values
0 missing
Var7176numeric92 unique values
0 missing
Var7432numeric91 unique values
0 missing
Var7688numeric92 unique values
0 missing
Var7944numeric91 unique values
0 missing
Var8200numeric91 unique values
0 missing
Var8456numeric87 unique values
0 missing
Var8712numeric91 unique values
0 missing
Var8968numeric87 unique values
0 missing
Var9224numeric90 unique values
0 missing
Var9480numeric91 unique values
0 missing
Var9736numeric93 unique values
0 missing
Var9992numeric99 unique values
0 missing
Var10248numeric91 unique values
0 missing
Var10504numeric98 unique values
0 missing
Var10760numeric95 unique values
0 missing
Var11016numeric94 unique values
0 missing
Var11272numeric92 unique values
0 missing
Var11528numeric93 unique values
0 missing
Var11784numeric89 unique values
0 missing
Var12040numeric100 unique values
0 missing
Var12296numeric90 unique values
0 missing
Var12552numeric95 unique values
0 missing
Var12808numeric88 unique values
0 missing
Var13064numeric85 unique values
0 missing
Var13320numeric87 unique values
0 missing
Var13576numeric94 unique values
0 missing
Var13832numeric96 unique values
0 missing
Var14088numeric89 unique values
0 missing
Var14344numeric100 unique values
0 missing
Var14600numeric94 unique values
0 missing
Var14856numeric94 unique values
0 missing
Var15112numeric83 unique values
0 missing
Var15368numeric96 unique values
0 missing
Var15624numeric96 unique values
0 missing
Var15880numeric99 unique values
0 missing
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0 missing
Var16392numeric97 unique values
0 missing
Var16648numeric92 unique values
0 missing
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0 missing
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0 missing
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0 missing
Var17672numeric98 unique values
0 missing
Var17928numeric89 unique values
0 missing
Var18184numeric94 unique values
0 missing
Var18440numeric94 unique values
0 missing
Var18696numeric94 unique values
0 missing
Var18952numeric87 unique values
0 missing
Var19208numeric93 unique values
0 missing
Var19464numeric91 unique values
0 missing
Var19720numeric95 unique values
0 missing
Var19976numeric99 unique values
0 missing
Var20232numeric94 unique values
0 missing
Var20488numeric86 unique values
0 missing
Var20744numeric98 unique values
0 missing
Var21000numeric100 unique values
0 missing
Var21256numeric95 unique values
0 missing
Var21512numeric92 unique values
0 missing
Var21768numeric98 unique values
0 missing
Var22024numeric90 unique values
0 missing
Var22280numeric99 unique values
0 missing
Var9numeric90 unique values
0 missing
Var265numeric88 unique values
0 missing
Var521numeric97 unique values
0 missing
Var777numeric87 unique values
0 missing
Var1033numeric83 unique values
0 missing
Var1289numeric89 unique values
0 missing
Var1545numeric92 unique values
0 missing
Var1801numeric95 unique values
0 missing
Var2057numeric99 unique values
0 missing
Var2313numeric94 unique values
0 missing
Var2569numeric101 unique values
0 missing
Var2825numeric96 unique values
0 missing
Var3081numeric95 unique values
0 missing
Var3337numeric90 unique values
0 missing
Var3593numeric84 unique values
0 missing
Var3849numeric83 unique values
0 missing
Var4105numeric101 unique values
0 missing
Var4361numeric85 unique values
0 missing
Var4617numeric90 unique values
0 missing
Var4873numeric98 unique values
0 missing
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0 missing
Var5385numeric93 unique values
0 missing
Var5641numeric88 unique values
0 missing
Var5897numeric92 unique values
0 missing
Var6153numeric90 unique values
0 missing
Var6409numeric89 unique values
0 missing
Var6665numeric93 unique values
0 missing
Var6921numeric91 unique values
0 missing
Var7177numeric84 unique values
0 missing
Var7433numeric87 unique values
0 missing
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0 missing
Var7945numeric93 unique values
0 missing
Var8201numeric80 unique values
0 missing
Var8457numeric97 unique values
0 missing
Var8713numeric91 unique values
0 missing
Var8969numeric76 unique values
0 missing
Var9225numeric100 unique values
0 missing
Var9481numeric101 unique values
0 missing
Var9737numeric93 unique values
0 missing
Var9993numeric99 unique values
0 missing
Var10249numeric69 unique values
0 missing
Var10505numeric95 unique values
0 missing
Var10761numeric90 unique values
0 missing
Var11017numeric94 unique values
0 missing
Var11273numeric87 unique values
0 missing
Var11529numeric99 unique values
0 missing
Var11785numeric94 unique values
0 missing
Var12041numeric94 unique values
0 missing
Var12297numeric95 unique values
0 missing
Var12553numeric95 unique values
0 missing
Var12809numeric98 unique values
0 missing
Var13065numeric95 unique values
0 missing
Var13321numeric104 unique values
0 missing
Var13577numeric85 unique values
0 missing
Var13833numeric99 unique values
0 missing
Var14089numeric96 unique values
0 missing
Var14345numeric93 unique values
0 missing
Var14601numeric93 unique values
0 missing
Var14857numeric96 unique values
0 missing
Var15113numeric92 unique values
0 missing
Var15369numeric91 unique values
0 missing
Var15625numeric89 unique values
0 missing
Var15881numeric100 unique values
0 missing
Var16137numeric95 unique values
0 missing
Var16393numeric90 unique values
0 missing
Var16649numeric92 unique values
0 missing
Var16905numeric92 unique values
0 missing
Var17161numeric81 unique values
0 missing
Var17417numeric99 unique values
0 missing
Var17673numeric96 unique values
0 missing
Var17929numeric84 unique values
0 missing
Var18185numeric89 unique values
0 missing
Var18441numeric98 unique values
0 missing
Var18697numeric88 unique values
0 missing
Var18953numeric93 unique values
0 missing
Var19209numeric84 unique values
0 missing
Var19465numeric94 unique values
0 missing
Var19721numeric98 unique values
0 missing
Var19977numeric102 unique values
0 missing
Var20233numeric97 unique values
0 missing
Var20489numeric87 unique values
0 missing
Var20745numeric99 unique values
0 missing
Var21001numeric91 unique values
0 missing
Var21257numeric97 unique values
0 missing
Var21513numeric89 unique values
0 missing
Var21769numeric89 unique values
0 missing
Var22025numeric90 unique values
0 missing
Var22281numeric92 unique values
0 missing
Var10numeric101 unique values
0 missing
Var266numeric98 unique values
0 missing
Var522numeric88 unique values
0 missing
Var778numeric98 unique values
0 missing
Var1034numeric97 unique values
0 missing
Var1290numeric100 unique values
0 missing
Var1546numeric88 unique values
0 missing
Var1802numeric89 unique values
0 missing
Var2058numeric80 unique values
0 missing
Var2314numeric101 unique values
0 missing
Var2570numeric87 unique values
0 missing
Var2826numeric94 unique values
0 missing
Var3082numeric86 unique values
0 missing
Var3338numeric95 unique values
0 missing
Var3594numeric100 unique values
0 missing
Var3850numeric93 unique values
0 missing
Var4106numeric84 unique values
0 missing
Var4362numeric100 unique values
0 missing
Var4618numeric96 unique values
0 missing
Var4874numeric102 unique values
0 missing
Var5130numeric97 unique values
0 missing
Var5386numeric83 unique values
0 missing
Var5642numeric94 unique values
0 missing
Var5898numeric97 unique values
0 missing
Var6154numeric81 unique values
0 missing
Var6410numeric87 unique values
0 missing
Var6666numeric92 unique values
0 missing
Var6922numeric95 unique values
0 missing
Var7178numeric98 unique values
0 missing
Var7434numeric95 unique values
0 missing
Var7690numeric100 unique values
0 missing
Var7946numeric98 unique values
0 missing
Var8202numeric80 unique values
0 missing
Var8458numeric97 unique values
0 missing
Var8714numeric92 unique values
0 missing
Var8970numeric91 unique values
0 missing
Var9226numeric89 unique values
0 missing
Var9482numeric91 unique values
0 missing
Var9738numeric93 unique values
0 missing
Var9994numeric74 unique values
0 missing
Var10250numeric98 unique values
0 missing
Var10506numeric93 unique values
0 missing
Var10762numeric83 unique values
0 missing
Var11018numeric76 unique values
0 missing
Var11274numeric94 unique values
0 missing
Var11530numeric100 unique values
0 missing
Var11786numeric91 unique values
0 missing
Var12042numeric101 unique values
0 missing
Var12298numeric89 unique values
0 missing
Var12554numeric93 unique values
0 missing
Var12810numeric90 unique values
0 missing
Var13066numeric99 unique values
0 missing
Var13322numeric91 unique values
0 missing
Var13578numeric92 unique values
0 missing
Var13834numeric89 unique values
0 missing
Var14090numeric98 unique values
0 missing
Var14346numeric99 unique values
0 missing
Var14602numeric92 unique values
0 missing
Var14858numeric91 unique values
0 missing
Var15114numeric94 unique values
0 missing
Var15370numeric85 unique values
0 missing
Var15626numeric91 unique values
0 missing
Var15882numeric86 unique values
0 missing
Var16138numeric91 unique values
0 missing
Var16394numeric95 unique values
0 missing
Var16650numeric89 unique values
0 missing
Var16906numeric88 unique values
0 missing
Var17162numeric88 unique values
0 missing
Var17418numeric98 unique values
0 missing
Var17674numeric90 unique values
0 missing
Var17930numeric91 unique values
0 missing
Var18186numeric95 unique values
0 missing
Var18442numeric97 unique values
0 missing
Var18698numeric94 unique values
0 missing
Var18954numeric95 unique values
0 missing
Var19210numeric91 unique values
0 missing
Var19466numeric98 unique values
0 missing
Var19722numeric101 unique values
0 missing
Var19978numeric95 unique values
0 missing
Var20234numeric86 unique values
0 missing
Var20490numeric100 unique values
0 missing
Var20746numeric93 unique values
0 missing
Var21002numeric85 unique values
0 missing
Var21258numeric96 unique values
0 missing
Var21514numeric76 unique values
0 missing
Var21770numeric97 unique values
0 missing
Var22026numeric99 unique values
0 missing
Var22282numeric91 unique values
0 missing
Var11numeric82 unique values
0 missing
Var267numeric104 unique values
0 missing
Var523numeric96 unique values
0 missing
Var779numeric91 unique values
0 missing
Var1035numeric98 unique values
0 missing
Var1291numeric86 unique values
0 missing
Var1547numeric92 unique values
0 missing
Var1803numeric82 unique values
0 missing
Var2059numeric93 unique values
0 missing
Var2315numeric93 unique values
0 missing
Var2571numeric95 unique values
0 missing
Var2827numeric87 unique values
0 missing
Var3083numeric89 unique values
0 missing
Var3339numeric99 unique values
0 missing
Var3595numeric54 unique values
0 missing
Var3851numeric91 unique values
0 missing
Var4107numeric89 unique values
0 missing
Var4363numeric99 unique values
0 missing
Var4619numeric91 unique values
0 missing
Var4875numeric95 unique values
0 missing
Var5131numeric88 unique values
0 missing
Var5387numeric97 unique values
0 missing
Var5643numeric94 unique values
0 missing
Var5899numeric96 unique values
0 missing
Var6155numeric92 unique values
0 missing
Var6411numeric84 unique values
0 missing
Var6667numeric82 unique values
0 missing
Var6923numeric75 unique values
0 missing
Var7179numeric93 unique values
0 missing
Var7435numeric93 unique values
0 missing
Var7691numeric93 unique values
0 missing
Var7947numeric86 unique values
0 missing
Var8203numeric86 unique values
0 missing
Var8459numeric72 unique values
0 missing
Var8715numeric91 unique values
0 missing
Var8971numeric89 unique values
0 missing
Var9227numeric92 unique values
0 missing
Var9483numeric90 unique values
0 missing
Var9739numeric92 unique values
0 missing
Var9995numeric90 unique values
0 missing
Var10251numeric101 unique values
0 missing
Var10507numeric97 unique values
0 missing
Var10763numeric92 unique values
0 missing
Var11019numeric91 unique values
0 missing
Var11275numeric94 unique values
0 missing
Var11531numeric90 unique values
0 missing
Var11787numeric92 unique values
0 missing
Var12043numeric99 unique values
0 missing
Var12299numeric98 unique values
0 missing
Var12555numeric85 unique values
0 missing
Var12811numeric99 unique values
0 missing
Var13067numeric85 unique values
0 missing
Var13323numeric91 unique values
0 missing
Var13579numeric101 unique values
0 missing
Var13835numeric92 unique values
0 missing
Var14091numeric102 unique values
0 missing
Var14347numeric102 unique values
0 missing
Var14603numeric94 unique values
0 missing
Var14859numeric92 unique values
0 missing
Var15115numeric79 unique values
0 missing
Var15371numeric97 unique values
0 missing
Var15627numeric89 unique values
0 missing
Var15883numeric95 unique values
0 missing
Var16139numeric96 unique values
0 missing
Var16395numeric94 unique values
0 missing
Var16651numeric99 unique values
0 missing
Var16907numeric93 unique values
0 missing
Var17163numeric88 unique values
0 missing
Var17419numeric94 unique values
0 missing
Var17675numeric84 unique values
0 missing
Var17931numeric97 unique values
0 missing
Var18187numeric100 unique values
0 missing
Var18443numeric98 unique values
0 missing
Var18699numeric93 unique values
0 missing
Var18955numeric100 unique values
0 missing
Var19211numeric97 unique values
0 missing
Var19467numeric95 unique values
0 missing
Var19723numeric94 unique values
0 missing
Var19979numeric91 unique values
0 missing
Var20235numeric97 unique values
0 missing
Var20491numeric90 unique values
0 missing
Var20747numeric99 unique values
0 missing
Var21003numeric103 unique values
0 missing
Var21259numeric91 unique values
0 missing
Var21515numeric98 unique values
0 missing
Var21771numeric95 unique values
0 missing
Var22027numeric91 unique values
0 missing
Var22283numeric101 unique values
0 missing
Var12numeric100 unique values
0 missing
Var268numeric94 unique values
0 missing
Var524numeric96 unique values
0 missing
Var780numeric85 unique values
0 missing
Var1036numeric102 unique values
0 missing
Var1292numeric98 unique values
0 missing
Var1548numeric96 unique values
0 missing
Var1804numeric85 unique values
0 missing
Var2060numeric93 unique values
0 missing
Var2316numeric98 unique values
0 missing
Var2572numeric85 unique values
0 missing
Var2828numeric87 unique values
0 missing
Var3084numeric96 unique values
0 missing
Var3340numeric90 unique values
0 missing
Var3596numeric99 unique values
0 missing
Var3852numeric97 unique values
0 missing
Var4108numeric95 unique values
0 missing
Var4364numeric99 unique values
0 missing
Var4620numeric91 unique values
0 missing
Var4876numeric93 unique values
0 missing
Var5132numeric102 unique values
0 missing
Var5388numeric97 unique values
0 missing
Var5644numeric95 unique values
0 missing
Var5900numeric95 unique values
0 missing
Var6156numeric94 unique values
0 missing
Var6412numeric88 unique values
0 missing
Var6668numeric102 unique values
0 missing
Var6924numeric90 unique values
0 missing
Var7180numeric98 unique values
0 missing
Var7436numeric96 unique values
0 missing
Var7692numeric77 unique values
0 missing

107 properties

105
Number of instances (rows) of the dataset.
22284
Number of attributes (columns) of the dataset.
3
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.
22283
Number of numeric attributes.
1
Number of nominal attributes.
Second quartile (Median) of entropy among attributes.
0.5
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.1
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
0.43
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
55.24
Percentage of instances belonging to the most frequent class.
0.16
Mean standard deviation of attributes of the numeric type.
0.97
Second quartile (Median) of kurtosis among attributes of the numeric type.
-0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
1.26
Entropy of the target attribute values.
0.24
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
58
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
3.62
Second quartile (Median) of means among attributes of the numeric type.
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.16
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.5
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.45
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
93.37
Maximum kurtosis among attributes of the numeric type.
1.86
Minimum of means among attributes of the numeric type.
0.33
Second quartile (Median) of skewness among attributes of the numeric type.
-0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.13
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
7.95
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0.14
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
212.23
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
3
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.6
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
3
The maximum number of distinct values among attributes of the nominal type.
-8.18
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
2.25
Third quartile of kurtosis among attributes of the numeric type.
0.43
Average class difference between consecutive instances.
-0.1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
9.4
Maximum skewness among attributes of the numeric type.
0.04
Minimum standard deviation of attributes of the numeric type.
100
Percentage of numeric attributes.
4.26
Third quartile of means among attributes of the numeric type.
0.55
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
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.46
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
1.07
Maximum standard deviation of attributes of the numeric type.
6.67
Percentage of instances belonging to the least frequent class.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.5
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
0.6
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
7
Number of instances belonging to the least frequent class.
First quartile of entropy among attributes.
0.77
Third quartile of skewness among attributes of the numeric type.
0.1
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
-0.1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
2.09
Mean kurtosis among attributes of the numeric type.
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.29
First quartile of kurtosis among attributes of the numeric type.
0.19
Third quartile of standard deviation of attributes of the numeric type.
0.55
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
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.46
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
3.67
Mean of means among attributes of the numeric type.
0.44
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
2.93
First quartile of means among attributes of the numeric type.
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.5
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
0.6
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of mutual information between the nominal attributes and the target attribute.
0.5
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.1
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
-0.1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
Number of binary attributes.
-0.09
First quartile of skewness among attributes of the numeric type.
-0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.55
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.46
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
3
Average number of distinct values among the attributes of the nominal type.
0.11
First quartile of standard deviation of attributes of the numeric type.
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.5
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
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.39
Mean skewness among attributes of the numeric type.

6 tasks

9 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: Decision
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task