DEVELOPMENT... OpenML
Run
30514

Run 30514

Task 54 (Supervised Classification) hepatitis Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I80
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

21 Evaluation measures

Area under ROC curve
0.8323
Per class
Build CPU time
0.1285
Build memory
617248725.2129
F measure
0.8175
Per class
Kappa
0.4216
KB relative information score
33.8686
Mean absolute error
0.238
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
0.7215
Root mean prior squared error
0.4048
Root mean squared error
0.3496
Root relative squared error
0.8636
SciMark benchmark
942.2231