DEVELOPMENT... OpenML
Run
73058

Run 73058

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.3621
Per class
Build CPU time
0.0009
Build memory
799781214.4
F measure
0.586
Per class
Kappa
-0.0368
KB relative information score
16.6463
Mean absolute error
0.261
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
0.5411
Per class
Predictive accuracy
0.68
Prior entropy
1.0305
Recall
0.68
Per class
Relative absolute error
0.9094
Root mean prior squared error
0.3755
Root mean squared error
0.441
Root relative squared error
1.1745
SciMark benchmark
902.1764