DEVELOPMENT... OpenML
Run
33175

Run 33175

Task 34 (Supervised Classification) postoperative-patient-data 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
0.3386
Per class
Build CPU time
0.1364
Build memory
192109823.2
F measure
0.5911
Per class
KB relative information score
-4.1211
Mean absolute error
0.2913
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5057
Per class
Predictive accuracy
0.7111
Prior entropy
1.0305
Recall
0.7111
Per class
Relative absolute error
1.0149
Root mean prior squared error
0.3755
Root mean squared error
0.3936
Root relative squared error
1.0483
SciMark benchmark
936.1847