DEVELOPMENT... OpenML
Run
166675

Run 166675

Task 3499 (Supervised Classification) squash-stored 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
0.7921
Per class
F measure
0.6747
Per class
Kappa
0.486
KB relative information score
26.6308
Mean absolute error
0.2142
Mean prior absolute error
0.4135
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6919
Per class
Predictive accuracy
0.6731
Prior entropy
1.4782
Recall
0.6731
Per class
Relative absolute error
0.5181
Root mean prior squared error
0.4538
Root mean squared error
0.4506
Root relative squared error
0.993
SciMark benchmark
943.2817
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30