Run
1521692

Run 1521692

Task 9904 (Supervised Classification) autoUniv-au6-750 Uploaded 18-07-2016 by Joaquin Vanschoren
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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.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

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

0.5471
Per class
Cross-validation details (10-fold Crossvalidation)
0.1694
Per class
Cross-validation details (10-fold Crossvalidation)
0.0802
Cross-validation details (10-fold Crossvalidation)
24.31
Cross-validation details (10-fold Crossvalidation)
0.2139
Cross-validation details (10-fold Crossvalidation)
0.2137
Cross-validation details (10-fold Crossvalidation)
750
Per class
Cross-validation details (10-fold Crossvalidation)
0.2563
Per class
Cross-validation details (10-fold Crossvalidation)
0.2787
Cross-validation details (10-fold Crossvalidation)
2.8958
Cross-validation details (10-fold Crossvalidation)
0.2787
Per class
Cross-validation details (10-fold Crossvalidation)
1.0008
Cross-validation details (10-fold Crossvalidation)
0.3269
Cross-validation details (10-fold Crossvalidation)
0.3259
Cross-validation details (10-fold Crossvalidation)
0.9971
Cross-validation details (10-fold Crossvalidation)