DEVELOPMENT... OpenML
Run
168963

Run 168963

Task 3535 (Supervised Classification) tr41.wc 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
0.9667
Per class
F measure
0.8686
Per class
Kappa
0.8397
KB relative information score
742.8779
Mean absolute error
0.0261
Mean prior absolute error
0.1652
Number of instances
878
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8794
Per class
Predictive accuracy
0.8679
Prior entropy
2.8041
Recall
0.8679
Per class
Relative absolute error
0.1581
Root mean prior squared error
0.2872
Root mean squared error
0.1552
Root relative squared error
0.5404
SciMark benchmark
941.7954
UserCPU time millis
642120
UserCPU time millis testing
226660
UserCPU time millis training
415460