DEVELOPMENT... OpenML
Run
166137

Run 166137

Task 3785 (Supervised Classification) fri_c2_100_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)_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
0.5899
Per class
F measure
0.6011
Per class
Kappa
0.1843
KB relative information score
15.4261
Mean absolute error
0.4092
Mean prior absolute error
0.4875
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6028
Per class
Predictive accuracy
0.6
Prior entropy
0.9822
Recall
0.6
Per class
Relative absolute error
0.8395
Root mean prior squared error
0.4936
Root mean squared error
0.6333
Root relative squared error
1.2831
SciMark benchmark
894.7455
UserCPU time millis
1160
UserCPU time millis testing
380
UserCPU time millis training
780