DEVELOPMENT... OpenML
Run
165633

Run 165633

Task 13 (Supervised Classification) breast-cancer Uploaded 17-02-2015 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
0.6296
Per class
F measure
0.6779
Per class
Kappa
0.2147
KB relative information score
26.7367
Mean absolute error
0.3631
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6729
Per class
Predictive accuracy
0.6853
Prior entropy
0.8796
Recall
0.6853
Per class
Relative absolute error
0.868
Root mean prior squared error
0.457
Root mean squared error
0.4725
Root relative squared error
1.0339
SciMark benchmark
943.2817
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10