Run
1875063

Run 1875063

Task 3951 (Supervised Classification) desharnais Uploaded 30-03-2017 by Daan Dinkla
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Flow

weka.MultiSearch_J48(5)Weka implementation of MultiSearch
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.MultiSearch_J48(5)_EACC
weka.MultiSearch_J48(5)_class-label1
weka.MultiSearch_J48(5)_search[weka.core.setupgenerator.MathParameter -property C -min -3.0 -max 3.0 -step 1.0 -base 10.0 -expression pow(BASE,I), weka.core.setupgenerator.MathParameter -property M -min 2.0 -max 128.0 -step 1.0 -base 10.0 -expression I]
weka.MultiSearch_J48(5)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 100 -num-slots 1 -S 1 -num-slots 1
weka.MultiSearch_J48(5)_log-fileC:\Program Files\Weka-3-8
weka.MultiSearch_J48(5)_S1
weka.MultiSearch_J48(5)_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.

17 Evaluation measures

Area under ROC curve
0.652
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6256
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3489
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24.6208
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.276
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3804
Cross-validation details (10-fold Crossvalidation)
Number of instances
81
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6248
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6296
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3765
Cross-validation details (10-fold Crossvalidation)
Recall
0.6296
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7257
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4348
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4786
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1007
Cross-validation details (10-fold Crossvalidation)