Data
BurkittLymphoma

BurkittLymphoma

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. All datasets contain between 100 and 400 samples, 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. Attributes are normalized in some way - in test data you should expect similar distributions of attribute values as in the example data. Source: http://tunedit.org/challenge/RSCTC-2010-A

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Var22279numeric190 unique values
0 missing
Var8numeric198 unique values
0 missing
Var264numeric185 unique values
0 missing
Var520numeric195 unique values
0 missing
Var776numeric177 unique values
0 missing
Var1032numeric170 unique values
0 missing
Var1288numeric159 unique values
0 missing
Var1544numeric164 unique values
0 missing
Var1800numeric187 unique values
0 missing
Var2056numeric208 unique values
0 missing
Var2312numeric204 unique values
0 missing
Var2568numeric194 unique values
0 missing
Var2824numeric206 unique values
0 missing
Var3080numeric205 unique values
0 missing
Var3336numeric203 unique values
0 missing
Var3592numeric193 unique values
0 missing
Var3848numeric149 unique values
0 missing
Var4104numeric165 unique values
0 missing
Var4360numeric186 unique values
0 missing
Var4616numeric194 unique values
0 missing
Var4872numeric196 unique values
0 missing
Var5128numeric159 unique values
0 missing
Var5384numeric161 unique values
0 missing
Var5640numeric171 unique values
0 missing
Var5896numeric187 unique values
0 missing
Var6152numeric200 unique values
0 missing
Var6408numeric195 unique values
0 missing
Var6664numeric192 unique values
0 missing
Var6920numeric174 unique values
0 missing
Var7176numeric198 unique values
0 missing
Var7432numeric183 unique values
0 missing
Var7688numeric209 unique values
0 missing
Var7944numeric188 unique values
0 missing
Var8200numeric188 unique values
0 missing
Var8456numeric202 unique values
0 missing
Var8712numeric187 unique values
0 missing
Var8968numeric177 unique values
0 missing
Var9224numeric159 unique values
0 missing
Var9480numeric202 unique values
0 missing
Var9736numeric183 unique values
0 missing
Var9992numeric168 unique values
0 missing
Var10248numeric194 unique values
0 missing
Var10504numeric165 unique values
0 missing
Var10760numeric210 unique values
0 missing
Var11016numeric162 unique values
0 missing
Var11272numeric201 unique values
0 missing
Var11528numeric180 unique values
0 missing
Var11784numeric168 unique values
0 missing
Var12040numeric168 unique values
0 missing
Var12296numeric187 unique values
0 missing
Var12552numeric152 unique values
0 missing
Var12808numeric184 unique values
0 missing
Var13064numeric170 unique values
0 missing
Var13320numeric159 unique values
0 missing
Var13576numeric156 unique values
0 missing
Var13832numeric174 unique values
0 missing
Var14088numeric194 unique values
0 missing
Var14344numeric200 unique values
0 missing
Var14600numeric173 unique values
0 missing
Var14856numeric198 unique values
0 missing
Var15112numeric169 unique values
0 missing
Var15368numeric178 unique values
0 missing
Var15624numeric184 unique values
0 missing
Var15880numeric178 unique values
0 missing
Var16136numeric205 unique values
0 missing
Var16392numeric198 unique values
0 missing
Var16648numeric187 unique values
0 missing
Var16904numeric213 unique values
0 missing
Var17160numeric193 unique values
0 missing
Var17416numeric192 unique values
0 missing
Var17672numeric211 unique values
0 missing
Var17928numeric175 unique values
0 missing
Var18184numeric188 unique values
0 missing
Var18440numeric195 unique values
0 missing
Var18696numeric164 unique values
0 missing
Var18952numeric171 unique values
0 missing
Var19208numeric196 unique values
0 missing
Var19464numeric172 unique values
0 missing
Var19720numeric191 unique values
0 missing
Var19976numeric159 unique values
0 missing
Var20232numeric200 unique values
0 missing
Var20488numeric199 unique values
0 missing
Var20744numeric152 unique values
0 missing
Var21000numeric188 unique values
0 missing
Var21256numeric191 unique values
0 missing
Var21512numeric190 unique values
0 missing
Var21768numeric186 unique values
0 missing
Var22024numeric187 unique values
0 missing
Var22280numeric202 unique values
0 missing
Var9numeric192 unique values
0 missing
Var265numeric187 unique values
0 missing
Var521numeric188 unique values
0 missing
Var777numeric196 unique values
0 missing
Var1033numeric165 unique values
0 missing
Var1289numeric185 unique values
0 missing
Var1545numeric165 unique values
0 missing
Var1801numeric168 unique values
0 missing
Var2057numeric163 unique values
0 missing
Var2313numeric193 unique values
0 missing
Var2569numeric204 unique values
0 missing
Var2825numeric162 unique values
0 missing
Var3081numeric187 unique values
0 missing
Var3337numeric179 unique values
0 missing
Var3593numeric188 unique values
0 missing
Var3849numeric165 unique values
0 missing
Var4105numeric164 unique values
0 missing
Var4361numeric194 unique values
0 missing
Var4617numeric182 unique values
0 missing
Var4873numeric159 unique values
0 missing
Var5129numeric205 unique values
0 missing
Var5385numeric162 unique values
0 missing
Var5641numeric178 unique values
0 missing
Var5897numeric165 unique values
0 missing
Var6153numeric195 unique values
0 missing
Var6409numeric177 unique values
0 missing
Var6665numeric194 unique values
0 missing
Var6921numeric193 unique values
0 missing
Var7177numeric190 unique values
0 missing
Var7433numeric200 unique values
0 missing
Var7689numeric177 unique values
0 missing
Var7945numeric193 unique values
0 missing
Var8201numeric183 unique values
0 missing
Var8457numeric184 unique values
0 missing
Var8713numeric203 unique values
0 missing
Var8969numeric181 unique values
0 missing
Var9225numeric203 unique values
0 missing
Var9481numeric164 unique values
0 missing
Var9737numeric196 unique values
0 missing
Var9993numeric157 unique values
0 missing
Var10249numeric211 unique values
0 missing
Var10505numeric200 unique values
0 missing
Var10761numeric205 unique values
0 missing
Var11017numeric201 unique values
0 missing
Var11273numeric156 unique values
0 missing
Var11529numeric213 unique values
0 missing
Var11785numeric148 unique values
0 missing
Var12041numeric206 unique values
0 missing
Var12297numeric207 unique values
0 missing
Var12553numeric205 unique values
0 missing
Var12809numeric168 unique values
0 missing
Var13065numeric189 unique values
0 missing
Var13321numeric189 unique values
0 missing
Var13577numeric172 unique values
0 missing
Var13833numeric202 unique values
0 missing
Var14089numeric189 unique values
0 missing
Var14345numeric207 unique values
0 missing
Var14601numeric171 unique values
0 missing
Var14857numeric167 unique values
0 missing
Var15113numeric196 unique values
0 missing
Var15369numeric174 unique values
0 missing
Var15625numeric188 unique values
0 missing
Var15881numeric185 unique values
0 missing
Var16137numeric184 unique values
0 missing
Var16393numeric187 unique values
0 missing
Var16649numeric173 unique values
0 missing
Var16905numeric144 unique values
0 missing
Var17161numeric174 unique values
0 missing
Var17417numeric159 unique values
0 missing
Var17673numeric187 unique values
0 missing
Var17929numeric199 unique values
0 missing
Var18185numeric180 unique values
0 missing
Var18441numeric165 unique values
0 missing
Var18697numeric163 unique values
0 missing
Var18953numeric193 unique values
0 missing
Var19209numeric158 unique values
0 missing
Var19465numeric146 unique values
0 missing
Var19721numeric169 unique values
0 missing
Var19977numeric161 unique values
0 missing
Var20233numeric181 unique values
0 missing
Var20489numeric164 unique values
0 missing
Var20745numeric198 unique values
0 missing
Var21001numeric191 unique values
0 missing
Var21257numeric205 unique values
0 missing
Var21513numeric173 unique values
0 missing
Var21769numeric208 unique values
0 missing
Var22025numeric202 unique values
0 missing
Var22281numeric173 unique values
0 missing
Var10numeric168 unique values
0 missing
Var266numeric170 unique values
0 missing
Var522numeric182 unique values
0 missing
Var778numeric181 unique values
0 missing
Var1034numeric186 unique values
0 missing
Var1290numeric163 unique values
0 missing
Var1546numeric167 unique values
0 missing
Var1802numeric184 unique values
0 missing
Var2058numeric199 unique values
0 missing
Var2314numeric172 unique values
0 missing
Var2570numeric160 unique values
0 missing
Var2826numeric201 unique values
0 missing
Var3082numeric151 unique values
0 missing
Var3338numeric209 unique values
0 missing
Var3594numeric192 unique values
0 missing
Var3850numeric179 unique values
0 missing
Var4106numeric205 unique values
0 missing
Var4362numeric196 unique values
0 missing
Var4618numeric159 unique values
0 missing
Var4874numeric198 unique values
0 missing
Var5130numeric201 unique values
0 missing
Var5386numeric185 unique values
0 missing
Var5642numeric201 unique values
0 missing
Var5898numeric201 unique values
0 missing
Var6154numeric159 unique values
0 missing
Var6410numeric203 unique values
0 missing
Var6666numeric209 unique values
0 missing
Var6922numeric184 unique values
0 missing
Var7178numeric206 unique values
0 missing
Var7434numeric177 unique values
0 missing
Var7690numeric178 unique values
0 missing
Var7946numeric186 unique values
0 missing
Var8202numeric208 unique values
0 missing
Var8458numeric199 unique values
0 missing
Var8714numeric190 unique values
0 missing
Var8970numeric187 unique values
0 missing
Var9226numeric184 unique values
0 missing
Var9482numeric200 unique values
0 missing
Var9738numeric191 unique values
0 missing
Var9994numeric166 unique values
0 missing
Var10250numeric158 unique values
0 missing
Var10506numeric163 unique values
0 missing
Var10762numeric174 unique values
0 missing
Var11018numeric172 unique values
0 missing
Var11274numeric169 unique values
0 missing
Var11530numeric188 unique values
0 missing
Var11786numeric195 unique values
0 missing
Var12042numeric156 unique values
0 missing
Var12298numeric166 unique values
0 missing
Var12554numeric200 unique values
0 missing
Var12810numeric190 unique values
0 missing
Var13066numeric165 unique values
0 missing
Var13322numeric155 unique values
0 missing
Var13578numeric208 unique values
0 missing
Var13834numeric206 unique values
0 missing
Var14090numeric154 unique values
0 missing
Var14346numeric184 unique values
0 missing
Var14602numeric166 unique values
0 missing
Var14858numeric175 unique values
0 missing
Var15114numeric199 unique values
0 missing
Var15370numeric165 unique values
0 missing
Var15626numeric185 unique values
0 missing
Var15882numeric197 unique values
0 missing
Var16138numeric208 unique values
0 missing
Var16394numeric189 unique values
0 missing
Var16650numeric167 unique values
0 missing
Var16906numeric156 unique values
0 missing
Var17162numeric167 unique values
0 missing
Var17418numeric167 unique values
0 missing
Var17674numeric173 unique values
0 missing
Var17930numeric206 unique values
0 missing
Var18186numeric194 unique values
0 missing
Var18442numeric195 unique values
0 missing
Var18698numeric167 unique values
0 missing
Var18954numeric203 unique values
0 missing
Var19210numeric203 unique values
0 missing
Var19466numeric184 unique values
0 missing
Var19722numeric194 unique values
0 missing
Var19978numeric203 unique values
0 missing
Var20234numeric160 unique values
0 missing
Var20490numeric188 unique values
0 missing
Var20746numeric207 unique values
0 missing
Var21002numeric206 unique values
0 missing
Var21258numeric191 unique values
0 missing
Var21514numeric195 unique values
0 missing
Var21770numeric208 unique values
0 missing
Var22026numeric156 unique values
0 missing
Var22282numeric177 unique values
0 missing
Var11numeric160 unique values
0 missing
Var267numeric189 unique values
0 missing
Var523numeric171 unique values
0 missing
Var779numeric185 unique values
0 missing
Var1035numeric163 unique values
0 missing
Var1291numeric155 unique values
0 missing
Var1547numeric200 unique values
0 missing
Var1803numeric156 unique values
0 missing
Var2059numeric181 unique values
0 missing
Var2315numeric182 unique values
0 missing
Var2571numeric167 unique values
0 missing
Var2827numeric170 unique values
0 missing
Var3083numeric193 unique values
0 missing
Var3339numeric177 unique values
0 missing
Var3595numeric162 unique values
0 missing
Var3851numeric186 unique values
0 missing
Var4107numeric168 unique values
0 missing
Var4363numeric194 unique values
0 missing
Var4619numeric208 unique values
0 missing
Var4875numeric201 unique values
0 missing
Var5131numeric166 unique values
0 missing
Var5387numeric200 unique values
0 missing
Var5643numeric159 unique values
0 missing
Var5899numeric212 unique values
0 missing
Var6155numeric162 unique values
0 missing
Var6411numeric180 unique values
0 missing
Var6667numeric199 unique values
0 missing
Var6923numeric168 unique values
0 missing
Var7179numeric190 unique values
0 missing
Var7435numeric201 unique values
0 missing
Var7691numeric203 unique values
0 missing
Var7947numeric190 unique values
0 missing
Var8203numeric200 unique values
0 missing
Var8459numeric210 unique values
0 missing
Var8715numeric201 unique values
0 missing
Var8971numeric208 unique values
0 missing
Var9227numeric200 unique values
0 missing
Var9483numeric164 unique values
0 missing
Var9739numeric203 unique values
0 missing
Var9995numeric167 unique values
0 missing
Var10251numeric169 unique values
0 missing
Var10507numeric192 unique values
0 missing
Var10763numeric161 unique values
0 missing
Var11019numeric181 unique values
0 missing
Var11275numeric166 unique values
0 missing
Var11531numeric211 unique values
0 missing
Var11787numeric184 unique values
0 missing
Var12043numeric178 unique values
0 missing
Var12299numeric166 unique values
0 missing
Var12555numeric170 unique values
0 missing
Var12811numeric201 unique values
0 missing
Var13067numeric179 unique values
0 missing
Var13323numeric196 unique values
0 missing
Var13579numeric186 unique values
0 missing
Var13835numeric166 unique values
0 missing
Var14091numeric204 unique values
0 missing
Var14347numeric151 unique values
0 missing
Var14603numeric195 unique values
0 missing
Var14859numeric194 unique values
0 missing
Var15115numeric188 unique values
0 missing
Var15371numeric189 unique values
0 missing
Var15627numeric192 unique values
0 missing
Var15883numeric176 unique values
0 missing
Var16139numeric191 unique values
0 missing
Var16395numeric161 unique values
0 missing
Var16651numeric206 unique values
0 missing
Var16907numeric192 unique values
0 missing
Var17163numeric176 unique values
0 missing
Var17419numeric165 unique values
0 missing
Var17675numeric163 unique values
0 missing
Var17931numeric191 unique values
0 missing
Var18187numeric204 unique values
0 missing
Var18443numeric175 unique values
0 missing
Var18699numeric188 unique values
0 missing
Var18955numeric205 unique values
0 missing
Var19211numeric184 unique values
0 missing
Var19467numeric209 unique values
0 missing
Var19723numeric193 unique values
0 missing
Var19979numeric197 unique values
0 missing
Var20235numeric204 unique values
0 missing
Var20491numeric164 unique values
0 missing
Var20747numeric201 unique values
0 missing
Var21003numeric163 unique values
0 missing
Var21259numeric182 unique values
0 missing
Var21515numeric179 unique values
0 missing
Var21771numeric156 unique values
0 missing
Var22027numeric188 unique values
0 missing
Var22283numeric202 unique values
0 missing
Var12numeric176 unique values
0 missing
Var268numeric163 unique values
0 missing
Var524numeric164 unique values
0 missing
Var780numeric205 unique values
0 missing
Var1036numeric200 unique values
0 missing
Var1292numeric198 unique values
0 missing
Var1548numeric177 unique values
0 missing
Var1804numeric188 unique values
0 missing
Var2060numeric194 unique values
0 missing
Var2316numeric177 unique values
0 missing
Var2572numeric160 unique values
0 missing
Var2828numeric159 unique values
0 missing
Var3084numeric200 unique values
0 missing
Var3340numeric187 unique values
0 missing
Var3596numeric175 unique values
0 missing
Var3852numeric193 unique values
0 missing
Var4108numeric197 unique values
0 missing
Var4364numeric196 unique values
0 missing
Var4620numeric184 unique values
0 missing
Var4876numeric172 unique values
0 missing
Var5132numeric170 unique values
0 missing
Var5388numeric205 unique values
0 missing
Var5644numeric175 unique values
0 missing
Var5900numeric158 unique values
0 missing
Var6156numeric156 unique values
0 missing
Var6412numeric191 unique values
0 missing
Var6668numeric158 unique values
0 missing
Var6924numeric163 unique values
0 missing
Var7180numeric195 unique values
0 missing
Var7436numeric179 unique values
0 missing
Var7692numeric157 unique values
0 missing

107 properties

220
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.
0.24
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.57
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
0.26
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
58.18
Percentage of instances belonging to the most frequent class.
0.22
Mean standard deviation of attributes of the numeric type.
0.54
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.54
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
1.4
Entropy of the target attribute values.
0.53
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
128
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
5.65
Second quartile (Median) of means among attributes of the numeric type.
0.79
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.76
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.73
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.24
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.28
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
165.83
Maximum kurtosis among attributes of the numeric type.
3.12
Minimum of means among attributes of the numeric type.
0.27
Second quartile (Median) of skewness among attributes of the numeric type.
0.54
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.47
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
10.31
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.
0.19
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
101.29
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.
0.41
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.
-4.13
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
1.59
Third quartile of kurtosis among attributes of the numeric type.
0.45
Average class difference between consecutive instances.
0.28
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.8
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
12.02
Maximum skewness among attributes of the numeric type.
0.06
Minimum standard deviation of attributes of the numeric type.
100
Percentage of numeric attributes.
6.24
Third quartile of means among attributes of the numeric type.
0.78
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
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.24
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
1.46
Maximum standard deviation of attributes of the numeric type.
20
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.
0.25
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
0.41
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.59
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
44
Number of instances belonging to the least frequent class.
First quartile of entropy among attributes.
0.7
Third quartile of skewness among attributes of the numeric type.
0.57
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
0.28
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.8
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
2.67
Mean kurtosis among attributes of the numeric type.
0.85
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.03
First quartile of kurtosis among attributes of the numeric type.
0.29
Third quartile of standard deviation of attributes of the numeric type.
0.78
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
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.24
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
5.76
Mean of means among attributes of the numeric type.
0.17
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
5.15
First quartile of means among attributes of the numeric type.
0.79
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.25
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
0.41
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.59
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.68
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of mutual information between the nominal attributes and the target attribute.
0.24
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.57
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
0.28
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.8
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.
-0.02
First quartile of skewness among attributes of the numeric type.
0.54
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.78
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.
0.24
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.
0.12
First quartile of standard deviation of attributes of the numeric type.
0.79
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.25
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
0.76
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.59
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.53
Mean skewness among attributes of the numeric type.

6 tasks

10 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
1 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