Run
1832971

Run 1832971

Task 3529 (Supervised Classification) oh5.wc Uploaded 17-10-2016 by Jan van Rijn
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Flow

weka.FilteredClassifier_MultiSearch_Logistic(1)Weka implementation of FilteredClassifier
weka.Logistic(6)_R1.0E-8
weka.Logistic(6)_M-1
weka.FilteredClassifier_MultiSearch_Logistic(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_Logistic(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_Logistic(1)_EACC
weka.MultiSearch_Logistic(1)_class-label1
weka.MultiSearch_Logistic(1)_search[weka.core.setupgenerator.MathParameter -property ridge -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_Logistic(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_Logistic(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_Logistic(1)_S1
weka.MultiSearch_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.9631
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8099
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7854
Cross-validation details (10-fold Crossvalidation)
KB relative information score
663.4402
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0679
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1775
Cross-validation details (10-fold Crossvalidation)
Number of instances
918
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8174
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8105
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2382
Cross-validation details (10-fold Crossvalidation)
Recall
0.8105
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3823
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2979
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1795
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6026
Cross-validation details (10-fold Crossvalidation)