DEVELOPMENT... OpenML
Run
166165

Run 166165

Task 3812 (Supervised Classification) arsenic-female-bladder 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
0.8045
Per class
F measure
0.8321
Per class
Kappa
0.2959
KB relative information score
32.0705
Mean absolute error
0.178
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8279
Per class
Predictive accuracy
0.8372
Prior entropy
0.5956
Recall
0.8372
Per class
Relative absolute error
0.7229
Root mean prior squared error
0.3502
Root mean squared error
0.3376
Root relative squared error
0.964
SciMark benchmark
939.7623
UserCPU time millis
80
UserCPU time millis testing
20
UserCPU time millis training
60