DEVELOPMENT... OpenML
Run
168021

Run 168021

Task 54 (Supervised Classification) hepatitis Uploaded 19-02-2015 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)_I20
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
0.8197
Per class
F measure
0.8412
Per class
Kappa
0.5045
KB relative information score
68.5203
Mean absolute error
0.1557
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
0.8388
Per class
Predictive accuracy
0.8452
Prior entropy
0.7418
Recall
0.8452
Per class
Relative absolute error
0.4721
Root mean prior squared error
0.4048
Root mean squared error
0.3841
Root relative squared error
0.949
SciMark benchmark
945.6434
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30