Run
1830773

Run 1830773

Task 2079 (Supervised Classification) eucalyptus Uploaded 24-09-2016 by Jan van Rijn
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Flow

weka.FilteredClassifier_MultiSearch_LogitBoost_REPTree(1)Weka implementation of FilteredClassifier
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.FilteredClassifier_MultiSearch_LogitBoost_REPTree(1)_Fweka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0"
weka.FilteredClassifier_MultiSearch_LogitBoost_REPTree(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_LogitBoost_REPTree(1)_EACC
weka.MultiSearch_LogitBoost_REPTree(1)_class-label1
weka.MultiSearch_LogitBoost_REPTree(1)_search[weka.core.setupgenerator.MathParameter -property shrinkage -min -4.0 -max -1.0 -step 1.0 -base 10.0 -expression pow(BASE,I), weka.core.setupgenerator.MathParameter -property classifier.maxDepth -min 1.0 -max 5.0 -step 1.0 -base 10.0 -expression I, weka.core.setupgenerator.MathParameter -property numIterations -min 500.0 -max 10000.0 -step 1.0 -base 10.0 -expression I]
weka.MultiSearch_LogitBoost_REPTree(1)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1
weka.MultiSearch_LogitBoost_REPTree(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_LogitBoost_REPTree(1)_S1
weka.MultiSearch_LogitBoost_REPTree(1)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_REPTree(6)_P100
weka.LogitBoost_REPTree(6)_L-1.7976931348623157E308
weka.LogitBoost_REPTree(6)_H1.0
weka.LogitBoost_REPTree(6)_Z3.0
weka.LogitBoost_REPTree(6)_O1
weka.LogitBoost_REPTree(6)_E1
weka.LogitBoost_REPTree(6)_S1
weka.LogitBoost_REPTree(6)_I10
weka.LogitBoost_REPTree(6)_Wweka.classifiers.trees.REPTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.8742
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5794
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4729
Cross-validation details (10-fold Crossvalidation)
KB relative information score
295.5077
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2222
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5943
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5965
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5965
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7095
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3205
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8099
Cross-validation details (10-fold Crossvalidation)