Run
1971648

Run 1971648

Task 3951 (Supervised Classification) desharnais Uploaded 03-04-2017 by Daan Vijselaar
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Flow

weka.MultiSearch_Logistic(2)Weka implementation of MultiSearch
weka.Logistic(8)_R1.0E-8
weka.Logistic(8)_M-1
weka.Logistic(8)_num-decimal-places4
weka.MultiSearch_Logistic(2)_ECC
weka.MultiSearch_Logistic(2)_class-label1
weka.MultiSearch_Logistic(2)_search[weka.core.setupgenerator.MathParameter -property ridge -min -10.0 -max 5.0 -step 1.0 -base 10.0 -expression pow(BASE,I)]
weka.MultiSearch_Logistic(2)_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_Logistic(2)_log-fileC:\Program Files\Weka-3-8
weka.MultiSearch_Logistic(2)_S1
weka.MultiSearch_Logistic(2)_Wweka.classifiers.functions.Logistic

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
0.7522
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6344
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.346
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.5954
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3022
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
0.65
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6543
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3765
Cross-validation details (10-fold Crossvalidation)
Recall
0.6543
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7944
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4348
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9235
Cross-validation details (10-fold Crossvalidation)