DEVELOPMENT... OpenML
Run
167241

Run 167241

Task 54 (Supervised Classification) hepatitis 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
0.7867
Per class
F measure
0.8175
Per class
Kappa
0.4216
KB relative information score
56.011
Mean absolute error
0.1861
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8136
Per class
Predictive accuracy
0.8258
Prior entropy
0.7418
Recall
0.8258
Per class
Relative absolute error
0.564
Root mean prior squared error
0.4048
Root mean squared error
0.39
Root relative squared error
0.9634
SciMark benchmark
945.6434
UserCPU time millis
20
UserCPU time millis training
20