Run
1794613

Run 1794613

Task 3534 (Supervised Classification) ohscal.wc Uploaded 25-07-2016 by Jan van Rijn
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Flow

weka.MultiBoostAB_NaiveBayes(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(3)_C3
weka.MultiBoostAB_NaiveBayes(3)_P100
weka.MultiBoostAB_NaiveBayes(3)_S1
weka.MultiBoostAB_NaiveBayes(3)_I10
weka.MultiBoostAB_NaiveBayes(3)_Wweka.classifiers.bayes.NaiveBayes

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
0.8678
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6453
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6029
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6699.1244
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0854
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1787
Cross-validation details (10-fold Crossvalidation)
Number of instances
11162
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6488
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6446
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2759
Cross-validation details (10-fold Crossvalidation)
Recall
0.6446
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4779
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2369
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7924
Cross-validation details (10-fold Crossvalidation)