Run
1842947

Run 1842947

Task 125966 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Maarten Visscher
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Flow

weka.MultiSearch_RandomForest(2)Weka implementation of MultiSearch
weka.RandomForest(11)_P100
weka.RandomForest(11)_I100
weka.RandomForest(11)_num-slots1
weka.RandomForest(11)_K0
weka.RandomForest(11)_M1.0
weka.RandomForest(11)_V0.001
weka.RandomForest(11)_S1
weka.MultiSearch_RandomForest(2)_EAUC
weka.MultiSearch_RandomForest(2)_class-label1
weka.MultiSearch_RandomForest(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_RandomForest(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_RandomForest(2)_log-file/home/maarten
weka.MultiSearch_RandomForest(2)_S1
weka.MultiSearch_RandomForest(2)_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
0.8572
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.818
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2519
Cross-validation details (10-fold Crossvalidation)
KB relative information score
983.2103
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2188
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8444
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8565
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7949
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3189
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8598
Cross-validation details (10-fold Crossvalidation)