DEVELOPMENT... OpenML
Run
32980

Run 32980

Task 1798 (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
0.3419
Per class
Build CPU time
0.1085
Build memory
736160885.6
F measure
0.55
Per class
Kappa
-0.1398
KB relative information score
-61.0482
Mean absolute error
0.3103
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5022
Per class
Predictive accuracy
0.6156
Prior entropy
1.0305
Recall
0.6156
Per class
Relative absolute error
1.0809
Root mean prior squared error
0.3755
Root mean squared error
0.4229
Root relative squared error
1.1264
SciMark benchmark
947.6044