Run
593685

Run 593685

Task 9909 (Supervised Classification) autoUniv-au1-1000 Uploaded 16-06-2016 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_MultiSearch_J48(2)Weka implementation of FilteredClassifier
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.FilteredClassifier_MultiSearch_J48(2)_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_J48(2)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_J48(4)_EACC
weka.MultiSearch_J48(4)_class-label1
weka.MultiSearch_J48(4)_search[weka.core.setupgenerator.MathParameter -property confidenceFactor -min -4.0 -max -1.0 -step 1.0 -base 10.0 -expression pow(BASE,I), weka.core.setupgenerator.MathParameter -property minNumObj -min 0.0 -max 6.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_J48(4)_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_J48(4)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_J48(4)_S1
weka.MultiSearch_J48(4)_Wweka.classifiers.trees.J48

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.

22 Evaluation measures

Area under ROC curve
0.6913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7718
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3681
Cross-validation details (10-fold Crossvalidation)
KB relative information score
231.6803
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2965
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7941
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.801
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.801
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7719
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3985
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9097
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.2477
UserCPU time millis
120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
120
Cross-validation details (10-fold Crossvalidation)