DEVELOPMENT... OpenML
Run
165641

Run 165641

Task 23 (Supervised Classification) cmc Uploaded 17-02-2015 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)_I160
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
0.6276
Per class
F measure
0.5118
Per class
Kappa
0.2564
KB relative information score
39.419
Mean absolute error
0.4406
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.527
Per class
Predictive accuracy
0.5071
Prior entropy
1.5392
Recall
0.5071
Per class
Relative absolute error
1.0228
Root mean prior squared error
0.4641
Root mean squared error
0.4676
Root relative squared error
1.0076
SciMark benchmark
939.7623
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40