DEVELOPMENT... OpenML
Run
26742

Run 26742

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 08-10-2014 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)_I20
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
0.3499
Per class
Build CPU time
0.0041
Build memory
184147833.6
F measure
0.5431
Per class
Kappa
-0.1516
KB relative information score
-56.5615
Mean absolute error
0.3075
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
0.5066
Per class
Predictive accuracy
0.5911
Prior entropy
1.0305
Recall
0.5911
Per class
Relative absolute error
1.0713
Root mean prior squared error
0.3755
Root mean squared error
0.4305
Root relative squared error
1.1466
SciMark benchmark
944.1609