DEVELOPMENT... OpenML
Run
32232

Run 32232

Task 1914 (Supervised Classification) postoperative-patient-data Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I160
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.3702
Per class
Build CPU time
0.0379
Build memory
157431229.12
F measure
0.5773
Per class
Kappa
-0.0512
KB relative information score
-37.5781
Mean absolute error
0.2904
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
0.4998
Per class
Predictive accuracy
0.6833
Prior entropy
1.0305
Recall
0.6833
Per class
Relative absolute error
1.0117
Root mean prior squared error
0.3755
Root mean squared error
0.3946
Root relative squared error
1.051
SciMark benchmark
947.0633