Run
1841380

Run 1841380

Task 125966 (Supervised Classification) SpeedDating Uploaded 27-11-2016 by J B
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Flow

weka.Vote_Bagging(1)Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
weka.Vote_Bagging(1)_RMIN
weka.Vote_Bagging(1)_S1
weka.Vote_Bagging(1)_Bweka.classifiers.meta.Bagging -P 100 -O -S 1 -num-slots 6 -I 25 -W weka.classifiers.trees.RandomForest -- -I 100 -K 9 -S 1 -depth 15 -O -B -num-slots 6

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.

17 Evaluation measures

Area under ROC curve
0.8571
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8321
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.317
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1644.579
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1962
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
0.848
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.862
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.862
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7129
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3149
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.849
Cross-validation details (10-fold Crossvalidation)