DEVELOPMENT... OpenML
Run
168925

Run 168925

Task 3896 (Supervised Classification) ada_agnostic Uploaded 20-02-2015 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)_I10
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
0.8322
Per class
F measure
0.8252
Per class
Kappa
0.5253
KB relative information score
2208.4095
Mean absolute error
0.172
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8235
Per class
Predictive accuracy
0.8277
Prior entropy
0.8085
Recall
0.8277
Per class
Relative absolute error
0.4609
Root mean prior squared error
0.4319
Root mean squared error
0.4056
Root relative squared error
0.9391
SciMark benchmark
931.2336
UserCPU time millis
3880
UserCPU time millis testing
1300
UserCPU time millis training
2580