DEVELOPMENT... OpenML
Run
33274

Run 33274

Task 54 (Supervised Classification) hepatitis Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.8172
Per class
Build CPU time
0.5781
Build memory
233000745.4968
F measure
0.7795
Per class
Kappa
0.2817
KB relative information score
33.256
Mean absolute error
0.2395
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
0.7738
Per class
Predictive accuracy
0.8
Prior entropy
0.7418
Recall
0.8
Per class
Relative absolute error
0.7261
Root mean prior squared error
0.4048
Root mean squared error
0.3552
Root relative squared error
0.8774
SciMark benchmark
941.1426