DEVELOPMENT... OpenML
Run
168111

Run 168111

Task 225 (Supervised Classification) RandomRBF_10_1E-3 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)_I20
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
0.6796 ± 0.0012
Per class
F measure
0.5059 ± 0.0015
Per class
Kappa
0.3598 ± 0.002
KB relative information score
0.0459 ± 0.0019
Mean absolute error
0.3179 ± 0.0006
Mean prior absolute error
0.3093 ± 0
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5205 ± 0.0015
Per class
Predictive accuracy
0.5182 ± 0.0015
Prior entropy
2.2205 ± 0
Recall
0.5182 ± 0.0015
Per class
Relative absolute error
1.0278 ± 0.002
Root mean prior squared error
0.3932 ± 0
Root mean squared error
0.3974 ± 0.0007
Root relative squared error
1.0106 ± 0.0019
SciMark benchmark
911.0478
UserCPU time millis
88010
UserCPU time millis testing
19620
UserCPU time millis training
68390