DEVELOPMENT... OpenML
Run
167755

Run 167755

Task 3785 (Supervised Classification) fri_c2_100_50 Uploaded 19-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I40
weka.MultiBoostAB_NaiveBayes(2)_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
0.6359
Per class
F measure
0.6387
Per class
Kappa
0.2562
KB relative information score
25.9995
Mean absolute error
0.3569
Mean prior absolute error
0.4875
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6378
Per class
Predictive accuracy
0.64
Prior entropy
0.9822
Recall
0.64
Per class
Relative absolute error
0.7321
Root mean prior squared error
0.4936
Root mean squared error
0.5908
Root relative squared error
1.1971
SciMark benchmark
876.8277
UserCPU time millis
270
UserCPU time millis testing
80
UserCPU time millis training
190