Run
1833427

Run 1833427

Task 10093 (Supervised Classification) banknote-authentication Uploaded 19-10-2016 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
0.9985
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9861
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9719
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1284.6129
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0379
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
1372
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9862
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9862
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.9862
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0767
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0976
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1964
Cross-validation details (10-fold Crossvalidation)