DEVELOPMENT... OpenML
Run
167125

Run 167125

Task 3892 (Supervised Classification) hiva_agnostic 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)_I80
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
0.737
Per class
F measure
0.9285
Per class
Kappa
0.2192
KB relative information score
-8348.1293
Mean absolute error
0.0997
Mean prior absolute error
0.0682
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9503
Per class
Predictive accuracy
0.9116
Prior entropy
0.221
Recall
0.9116
Per class
Relative absolute error
1.4623
Root mean prior squared error
0.1844
Root mean squared error
0.2655
Root relative squared error
1.4403
SciMark benchmark
923.7642
UserCPU time millis
286430
UserCPU time millis testing
86180
UserCPU time millis training
200250