DEVELOPMENT... OpenML
Run
166277

Run 166277

Task 3899 (Supervised Classification) mozilla4 Uploaded 18-02-2015 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
0.8156
Per class
F measure
0.8003
Per class
Kappa
0.5651
KB relative information score
5038.2533
Mean absolute error
0.3059
Mean prior absolute error
0.4412
Number of instances
15545
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8164
Per class
Predictive accuracy
0.7956
Prior entropy
0.9135
Recall
0.7956
Per class
Relative absolute error
0.6933
Root mean prior squared error
0.4697
Root mean squared error
0.39
Root relative squared error
0.8304
SciMark benchmark
938.2848
UserCPU time millis
410
UserCPU time millis testing
100
UserCPU time millis training
310