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Run
34915

Run 34915

Task 1914 (Supervised Classification) postoperative-patient-data Uploaded 21-10-2014 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)_I80
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
0.3508
Per class
Build CPU time
0.0651
Build memory
362677183.6
F measure
0.5889
Per class
Kappa
-0.0085
KB relative information score
-40.283
Mean absolute error
0.2913
Mean prior absolute error
0.2871
Number of instances
900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5048
Per class
Predictive accuracy
0.7067
Prior entropy
1.0305
Recall
0.7067
Per class
Relative absolute error
1.0146
Root mean prior squared error
0.3755
Root mean squared error
0.3936
Root relative squared error
1.0482
SciMark benchmark
926.9001