Run
1839566

Run 1839566

Task 3567 (Supervised Classification) collins Uploaded 21-11-2016 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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
74.5756
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1192
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1212
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6642
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9841
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.246
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.239
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9714
Cross-validation details (10-fold Crossvalidation)