DEVELOPMENT... OpenML
Run
167207

Run 167207

Task 15 (Supervised Classification) breast-w 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)_I40
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
0.9821
Per class
F measure
0.9556
Per class
Kappa
0.9017
KB relative information score
615.338
Mean absolute error
0.055
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9556
Per class
Predictive accuracy
0.9557
Prior entropy
0.9297
Recall
0.9557
Per class
Relative absolute error
0.1216
Root mean prior squared error
0.4753
Root mean squared error
0.1882
Root relative squared error
0.396
SciMark benchmark
922.9039
UserCPU time millis
80
UserCPU time millis testing
20
UserCPU time millis training
60