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hepatitisC

hepatitisC

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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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Var53929numeric180 unique values
0 missing
Var53930numeric243 unique values
0 missing
Var53931numeric226 unique values
0 missing
Var53932numeric221 unique values
0 missing
Var53933numeric169 unique values
0 missing
Var53934numeric195 unique values
0 missing
Var53935numeric186 unique values
0 missing
Var53936numeric223 unique values
0 missing
Var53937numeric196 unique values
0 missing
Var53938numeric207 unique values
0 missing
Var53939numeric180 unique values
0 missing
Var53940numeric231 unique values
0 missing
Var53941numeric207 unique values
0 missing
Var53942numeric229 unique values
0 missing
Var53943numeric263 unique values
0 missing
Var53944numeric215 unique values
0 missing
Var53945numeric246 unique values
0 missing
Var53946numeric263 unique values
0 missing
Var53947numeric249 unique values
0 missing
Var53948numeric246 unique values
0 missing
Var53949numeric229 unique values
0 missing
Var53950numeric219 unique values
0 missing
Var53951numeric239 unique values
0 missing
Var53952numeric209 unique values
0 missing
Var53953numeric210 unique values
0 missing
Var53954numeric200 unique values
0 missing
Var53955numeric214 unique values
0 missing
Var53956numeric172 unique values
0 missing
Var53957numeric197 unique values
0 missing
Var53958numeric171 unique values
0 missing
Var53959numeric203 unique values
0 missing
Var53960numeric189 unique values
0 missing
Var53961numeric209 unique values
0 missing
Var53962numeric160 unique values
0 missing
Var53963numeric255 unique values
0 missing
Var53964numeric173 unique values
0 missing
Var53965numeric213 unique values
0 missing
Var53966numeric241 unique values
0 missing
Var53967numeric228 unique values
0 missing
Var53968numeric229 unique values
0 missing
Var53969numeric162 unique values
0 missing
Var53970numeric203 unique values
0 missing
Var53971numeric234 unique values
0 missing
Var53972numeric209 unique values
0 missing
Var53973numeric253 unique values
0 missing
Var53974numeric190 unique values
0 missing
Var53975numeric185 unique values
0 missing
Var53976numeric242 unique values
0 missing
Var53977numeric208 unique values
0 missing
Var53978numeric163 unique values
0 missing
Var53979numeric253 unique values
0 missing
Var53980numeric247 unique values
0 missing
Var53981numeric214 unique values
0 missing
Var53982numeric232 unique values
0 missing
Var53983numeric233 unique values
0 missing
Var53984numeric254 unique values
0 missing
Var53985numeric215 unique values
0 missing
Var53986numeric176 unique values
0 missing
Var53987numeric199 unique values
0 missing
Var53988numeric235 unique values
0 missing
Var53989numeric258 unique values
0 missing
Var53990numeric246 unique values
0 missing
Var53991numeric218 unique values
0 missing
Var53992numeric199 unique values
0 missing
Var53993numeric230 unique values
0 missing
Var53994numeric248 unique values
0 missing
Var53995numeric245 unique values
0 missing
Var53996numeric159 unique values
0 missing
Var53997numeric195 unique values
0 missing
Var53998numeric214 unique values
0 missing
Var53999numeric229 unique values
0 missing
Var54000numeric186 unique values
0 missing
Var54001numeric164 unique values
0 missing
Var54002numeric182 unique values
0 missing
Var54003numeric181 unique values
0 missing
Var54004numeric249 unique values
0 missing
Var54005numeric213 unique values
0 missing
Var54006numeric208 unique values
0 missing
Var54007numeric238 unique values
0 missing
Var54008numeric201 unique values
0 missing
Var54009numeric242 unique values
0 missing
Var54010numeric234 unique values
0 missing
Var54011numeric252 unique values
0 missing
Var54012numeric182 unique values
0 missing
Var54013numeric152 unique values
0 missing
Var54014numeric247 unique values
0 missing
Var54015numeric178 unique values
0 missing
Var54016numeric207 unique values
0 missing
Var54017numeric242 unique values
0 missing
Var54018numeric183 unique values
0 missing
Var54019numeric228 unique values
0 missing
Var54020numeric249 unique values
0 missing
Var54021numeric238 unique values
0 missing
Var54022numeric200 unique values
0 missing
Var54023numeric239 unique values
0 missing
Var54024numeric195 unique values
0 missing
Var54025numeric229 unique values
0 missing
Var54026numeric165 unique values
0 missing
Var54027numeric199 unique values
0 missing
Var54028numeric257 unique values
0 missing
Var54029numeric185 unique values
0 missing
Var54030numeric190 unique values
0 missing
Var54031numeric198 unique values
0 missing
Var54032numeric240 unique values
0 missing
Var54033numeric247 unique values
0 missing
Var54034numeric245 unique values
0 missing
Var54035numeric152 unique values
0 missing
Var54036numeric246 unique values
0 missing
Var54037numeric206 unique values
0 missing
Var54038numeric232 unique values
0 missing
Var54039numeric230 unique values
0 missing
Var54040numeric242 unique values
0 missing
Var54041numeric187 unique values
0 missing
Var54042numeric197 unique values
0 missing
Var54043numeric193 unique values
0 missing
Var54044numeric193 unique values
0 missing
Var54045numeric190 unique values
0 missing
Var54046numeric254 unique values
0 missing
Var54047numeric253 unique values
0 missing
Var54048numeric178 unique values
0 missing
Var54049numeric233 unique values
0 missing
Var54050numeric258 unique values
0 missing
Var54051numeric195 unique values
0 missing
Var54052numeric270 unique values
0 missing
Var54053numeric163 unique values
0 missing
Var54054numeric220 unique values
0 missing
Var54055numeric233 unique values
0 missing
Var54056numeric155 unique values
0 missing
Var54057numeric259 unique values
0 missing
Var54058numeric208 unique values
0 missing
Var54059numeric196 unique values
0 missing
Var54060numeric196 unique values
0 missing
Var54061numeric217 unique values
0 missing
Var54062numeric207 unique values
0 missing
Var54063numeric222 unique values
0 missing
Var54064numeric194 unique values
0 missing
Var54065numeric241 unique values
0 missing
Var54066numeric272 unique values
0 missing
Var54067numeric235 unique values
0 missing
Var54068numeric249 unique values
0 missing
Var54069numeric219 unique values
0 missing
Var54070numeric233 unique values
0 missing
Var54071numeric201 unique values
0 missing
Var54072numeric194 unique values
0 missing
Var54073numeric240 unique values
0 missing
Var54074numeric262 unique values
0 missing
Var54075numeric235 unique values
0 missing
Var54076numeric144 unique values
0 missing
Var54077numeric269 unique values
0 missing
Var54078numeric240 unique values
0 missing
Var54079numeric190 unique values
0 missing
Var54080numeric190 unique values
0 missing
Var54081numeric240 unique values
0 missing
Var54082numeric177 unique values
0 missing
Var54083numeric154 unique values
0 missing
Var54084numeric204 unique values
0 missing
Var54085numeric242 unique values
0 missing
Var54086numeric206 unique values
0 missing
Var54087numeric250 unique values
0 missing
Var54088numeric230 unique values
0 missing
Var54089numeric231 unique values
0 missing
Var54090numeric235 unique values
0 missing
Var54091numeric248 unique values
0 missing
Var54092numeric230 unique values
0 missing
Var54093numeric169 unique values
0 missing
Var54094numeric176 unique values
0 missing
Var54095numeric248 unique values
0 missing
Var54096numeric217 unique values
0 missing
Var54097numeric188 unique values
0 missing
Var54098numeric175 unique values
0 missing
Var54099numeric190 unique values
0 missing
Var54100numeric182 unique values
0 missing
Var54101numeric252 unique values
0 missing
Var54102numeric255 unique values
0 missing
Var54103numeric227 unique values
0 missing
Var54104numeric164 unique values
0 missing
Var54105numeric216 unique values
0 missing
Var54106numeric197 unique values
0 missing
Var54107numeric180 unique values
0 missing
Var54108numeric268 unique values
0 missing
Var54109numeric242 unique values
0 missing
Var54110numeric206 unique values
0 missing
Var54111numeric215 unique values
0 missing
Var54112numeric240 unique values
0 missing
Var54113numeric249 unique values
0 missing
Var54114numeric255 unique values
0 missing
Var54115numeric163 unique values
0 missing
Var54116numeric243 unique values
0 missing
Var54117numeric259 unique values
0 missing
Var54118numeric241 unique values
0 missing
Var54119numeric255 unique values
0 missing
Var54120numeric228 unique values
0 missing
Var54121numeric255 unique values
0 missing
Var54122numeric194 unique values
0 missing
Var54123numeric241 unique values
0 missing
Var54124numeric220 unique values
0 missing
Var54125numeric241 unique values
0 missing
Var54126numeric195 unique values
0 missing
Var54127numeric240 unique values
0 missing
Var54128numeric205 unique values
0 missing
Var54129numeric218 unique values
0 missing
Var54130numeric170 unique values
0 missing
Var54131numeric215 unique values
0 missing
Var54132numeric238 unique values
0 missing
Var54133numeric260 unique values
0 missing
Var54134numeric238 unique values
0 missing
Var54135numeric245 unique values
0 missing
Var54136numeric244 unique values
0 missing
Var54137numeric177 unique values
0 missing
Var54138numeric207 unique values
0 missing
Var54139numeric241 unique values
0 missing
Var54140numeric262 unique values
0 missing
Var54141numeric245 unique values
0 missing
Var54142numeric213 unique values
0 missing
Var54143numeric234 unique values
0 missing
Var54144numeric186 unique values
0 missing
Var54145numeric221 unique values
0 missing
Var54146numeric209 unique values
0 missing
Var54147numeric197 unique values
0 missing
Var54148numeric235 unique values
0 missing
Var54149numeric192 unique values
0 missing
Var54150numeric259 unique values
0 missing
Var54151numeric245 unique values
0 missing
Var54152numeric215 unique values
0 missing
Var54153numeric170 unique values
0 missing
Var54154numeric192 unique values
0 missing
Var54155numeric220 unique values
0 missing
Var54156numeric163 unique values
0 missing
Var54157numeric190 unique values
0 missing
Var54158numeric245 unique values
0 missing
Var54159numeric218 unique values
0 missing
Var54160numeric199 unique values
0 missing
Var54161numeric175 unique values
0 missing
Var54162numeric241 unique values
0 missing
Var54163numeric222 unique values
0 missing
Var54164numeric189 unique values
0 missing
Var54165numeric253 unique values
0 missing
Var54166numeric246 unique values
0 missing
Var54167numeric170 unique values
0 missing
Var54168numeric216 unique values
0 missing
Var54169numeric221 unique values
0 missing
Var54170numeric240 unique values
0 missing
Var54171numeric255 unique values
0 missing
Var54172numeric253 unique values
0 missing
Var54173numeric239 unique values
0 missing
Var54174numeric192 unique values
0 missing
Var54175numeric230 unique values
0 missing
Var54176numeric196 unique values
0 missing
Var54177numeric200 unique values
0 missing
Var54178numeric174 unique values
0 missing
Var54179numeric220 unique values
0 missing
Var54180numeric240 unique values
0 missing
Var54181numeric223 unique values
0 missing
Var54182numeric156 unique values
0 missing
Var54183numeric195 unique values
0 missing
Var54184numeric215 unique values
0 missing
Var54185numeric182 unique values
0 missing
Var54186numeric201 unique values
0 missing
Var54187numeric226 unique values
0 missing
Var54188numeric211 unique values
0 missing
Var54189numeric209 unique values
0 missing
Var54190numeric226 unique values
0 missing
Var54191numeric231 unique values
0 missing
Var54192numeric193 unique values
0 missing
Var54193numeric219 unique values
0 missing
Var54194numeric246 unique values
0 missing
Var54195numeric250 unique values
0 missing
Var54196numeric242 unique values
0 missing
Var54197numeric201 unique values
0 missing
Var54198numeric230 unique values
0 missing
Var54199numeric235 unique values
0 missing
Var54200numeric238 unique values
0 missing
Var54201numeric171 unique values
0 missing
Var54202numeric228 unique values
0 missing
Var54203numeric222 unique values
0 missing
Var54204numeric155 unique values
0 missing
Var54205numeric160 unique values
0 missing
Var54206numeric209 unique values
0 missing
Var54207numeric243 unique values
0 missing
Var54208numeric195 unique values
0 missing
Var54209numeric177 unique values
0 missing
Var54210numeric252 unique values
0 missing
Var54211numeric247 unique values
0 missing
Var54212numeric209 unique values
0 missing
Var54213numeric164 unique values
0 missing
Var54214numeric253 unique values
0 missing
Var54215numeric205 unique values
0 missing
Var54216numeric235 unique values
0 missing
Var54217numeric255 unique values
0 missing
Var54218numeric254 unique values
0 missing
Var54219numeric199 unique values
0 missing
Var54220numeric247 unique values
0 missing
Var54221numeric241 unique values
0 missing
Var54222numeric266 unique values
0 missing
Var54223numeric250 unique values
0 missing
Var54224numeric246 unique values
0 missing
Var54225numeric248 unique values
0 missing
Var54226numeric228 unique values
0 missing
Var54227numeric147 unique values
0 missing
Var54228numeric263 unique values
0 missing
Var54229numeric230 unique values
0 missing
Var54230numeric259 unique values
0 missing
Var54231numeric167 unique values
0 missing
Var54232numeric252 unique values
0 missing
Var54233numeric190 unique values
0 missing
Var54234numeric191 unique values
0 missing
Var54235numeric168 unique values
0 missing
Var54236numeric247 unique values
0 missing
Var54237numeric245 unique values
0 missing
Var54238numeric249 unique values
0 missing
Var54239numeric218 unique values
0 missing
Var54240numeric249 unique values
0 missing
Var54241numeric169 unique values
0 missing
Var54242numeric174 unique values
0 missing
Var54243numeric206 unique values
0 missing
Var54244numeric229 unique values
0 missing
Var54245numeric235 unique values
0 missing
Var54246numeric239 unique values
0 missing
Var54247numeric221 unique values
0 missing
Var54248numeric239 unique values
0 missing
Var54249numeric186 unique values
0 missing
Var54250numeric219 unique values
0 missing
Var54251numeric188 unique values
0 missing
Var54252numeric158 unique values
0 missing
Var54253numeric162 unique values
0 missing
Var54254numeric168 unique values
0 missing
Var54255numeric202 unique values
0 missing
Var54256numeric264 unique values
0 missing
Var54257numeric265 unique values
0 missing
Var54258numeric178 unique values
0 missing
Var54259numeric146 unique values
0 missing
Var54260numeric252 unique values
0 missing
Var54261numeric174 unique values
0 missing
Var54262numeric211 unique values
0 missing
Var54263numeric251 unique values
0 missing
Var54264numeric247 unique values
0 missing
Var54265numeric177 unique values
0 missing
Var54266numeric237 unique values
0 missing
Var54267numeric217 unique values
0 missing
Var54268numeric213 unique values
0 missing
Var54269numeric200 unique values
0 missing
Var54270numeric233 unique values
0 missing
Var54271numeric197 unique values
0 missing
Var54272numeric257 unique values
0 missing
Var54273numeric216 unique values
0 missing
Var54274numeric188 unique values
0 missing
Var54275numeric222 unique values
0 missing
Var54276numeric137 unique values
0 missing
Var54277numeric228 unique values
0 missing
Var54278numeric245 unique values
0 missing
Var54279numeric261 unique values
0 missing
Var54280numeric177 unique values
0 missing
Var54281numeric238 unique values
0 missing
Var54282numeric249 unique values
0 missing
Var54283numeric178 unique values
0 missing
Var54284numeric224 unique values
0 missing
Var54285numeric233 unique values
0 missing
Var54286numeric253 unique values
0 missing
Var54287numeric217 unique values
0 missing
Var54288numeric158 unique values
0 missing
Var54289numeric175 unique values
0 missing
Var54290numeric264 unique values
0 missing
Var54291numeric195 unique values
0 missing
Var54292numeric243 unique values
0 missing
Var54293numeric268 unique values
0 missing
Var54294numeric169 unique values
0 missing
Var54295numeric258 unique values
0 missing
Var54296numeric194 unique values
0 missing
Var54297numeric221 unique values
0 missing
Var54298numeric204 unique values
0 missing
Var54299numeric234 unique values
0 missing
Var54300numeric179 unique values
0 missing
Var54301numeric171 unique values
0 missing
Var54302numeric238 unique values
0 missing
Var54303numeric189 unique values
0 missing
Var54304numeric239 unique values
0 missing
Var54305numeric171 unique values
0 missing
Var54306numeric236 unique values
0 missing
Var54307numeric178 unique values
0 missing
Var54308numeric162 unique values
0 missing
Var54309numeric218 unique values
0 missing
Var54310numeric240 unique values
0 missing
Var54311numeric233 unique values
0 missing
Var54312numeric201 unique values
0 missing
Var54313numeric203 unique values
0 missing
Var54314numeric236 unique values
0 missing

107 properties

283
Number of instances (rows) of the dataset.
54622
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.
54621
Number of numeric attributes.
1
Number of nominal attributes.
0.75
Average class difference between consecutive instances.
0.61
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
0.17
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
0.28
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
0.61
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
0.17
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
0.28
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
0.61
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
0.17
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
0.28
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
0.7
Entropy of the target attribute values.
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.11
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
193.01
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.18
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.18
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.18
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
86.57
Percentage of instances belonging to the most frequent class.
245
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
239.8
Maximum kurtosis among attributes of the numeric type.
6.9
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
3
The maximum number of distinct values among attributes of the nominal type.
14.87
Maximum skewness among attributes of the numeric type.
1.45
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
3.32
Mean kurtosis among attributes of the numeric type.
2.65
Mean of means among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
3
Average number of distinct values among the attributes of the nominal type.
0.71
Mean skewness among attributes of the numeric type.
0.22
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-1.59
Minimum kurtosis among attributes of the numeric type.
1.23
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
3
The minimal number of distinct values among attributes of the nominal type.
-3.4
Minimum skewness among attributes of the numeric type.
0.04
Minimum standard deviation of attributes of the numeric type.
6.36
Percentage of instances belonging to the least frequent class.
18
Number of instances belonging to the least frequent class.
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.1
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.42
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
100
Percentage of numeric attributes.
0
Percentage of nominal attributes.
First quartile of entropy among attributes.
0.19
First quartile of kurtosis among attributes of the numeric type.
1.84
First quartile of means among attributes of the numeric type.
First quartile of mutual information between the nominal attributes and the target attribute.
0.11
First quartile of skewness among attributes of the numeric type.
0.11
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.72
Second quartile (Median) of kurtosis among attributes of the numeric type.
2.46
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.44
Second quartile (Median) of skewness among attributes of the numeric type.
0.19
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
2.05
Third quartile of kurtosis among attributes of the numeric type.
3.31
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.92
Third quartile of skewness among attributes of the numeric type.
0.28
Third quartile of standard deviation of attributes of the numeric type.
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.14
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.14
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.14
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.19
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.16
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.19
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.16
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.19
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.16
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.13
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
0.4
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

14 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
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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