DEVELOPMENT... OpenML
Run
21011

Run 21011

Task 54 (Supervised Classification) hepatitis Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(1)_C3
weka.MultiBoostAB_DecisionStump(1)_I20
weka.MultiBoostAB_DecisionStump(1)_P100
weka.MultiBoostAB_DecisionStump(1)_S1
weka.MultiBoostAB_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8055
Per class
F measure
0.7957
Per class
Kappa
0.3491
KB relative information score
46.4298
Mean absolute error
0.2004
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
0.7903
Per class
Predictive accuracy
0.8065
Prior entropy
0.7418
Recall
0.8065
Per class
Relative absolute error
0.6075
Root mean prior squared error
0.4048
Root mean squared error
0.4223
Root relative squared error
1.0434
SciMark benchmark
910.0538[546.0991349014388924.1990276952541465.4277678357406886.82000016937721727.7232870185824]