Run
1971619

Run 1971619

Task 3951 (Supervised Classification) desharnais Uploaded 03-04-2017 by Wouter Nuijten
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Flow

weka.MultiSearch_RandomForest(3)Weka implementation of MultiSearch
weka.RandomForest(12)_P100
weka.RandomForest(12)_I1000
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.MultiSearch_RandomForest(3)_ECC
weka.MultiSearch_RandomForest(3)_class-label1
weka.MultiSearch_RandomForest(3)_search[weka.core.setupgenerator.MathParameter -property numFeatures -min -1.0 -max 5.0 -step 1.0 -base 10.0 -expression pow(BASE,I)]
weka.MultiSearch_RandomForest(3)_algorithmweka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1
weka.MultiSearch_RandomForest(3)_log-fileC:\Program Files\Weka-3-8
weka.MultiSearch_RandomForest(3)_S1
weka.MultiSearch_RandomForest(3)_Wweka.classifiers.trees.RandomForest

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
0.8558
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5947
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30.4724
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2671
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
0.7801
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7778
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3765
Cross-validation details (10-fold Crossvalidation)
Recall
0.7778
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7022
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4348
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3541
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8145
Cross-validation details (10-fold Crossvalidation)