Run
581044

Run 581044

Task 2079 (Supervised Classification) eucalyptus Uploaded 06-06-2016 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.

22 Evaluation measures

Area under ROC curve
0.7835
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5686
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4458
Cross-validation details (10-fold Crossvalidation)
KB relative information score
334.016
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1937
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-86-generic]
Precision
0.6283
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5679
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5679
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6184
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3678
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9295
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1894.041
UserCPU time millis
290
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
190
Cross-validation details (10-fold Crossvalidation)