DEVELOPMENT... OpenML
Run
166965

Run 166965

Task 3781 (Supervised Classification) fri_c4_250_50 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
0.595
Per class
F measure
0.5917
Per class
Kappa
0.1777
KB relative information score
34.456
Mean absolute error
0.4298
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5915
Per class
Predictive accuracy
0.592
Prior entropy
0.9955
Recall
0.592
Per class
Relative absolute error
0.8651
Root mean prior squared error
0.4984
Root mean squared error
0.5929
Root relative squared error
1.1896
SciMark benchmark
945.6434
UserCPU time millis
230
UserCPU time millis testing
70
UserCPU time millis training
160