DEVELOPMENT... OpenML
Run
29385

Run 29385

Task 1914 (Supervised Classification) postoperative-patient-data Uploaded 11-10-2014 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)_I40
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
0.3839
Per class
Build CPU time
0.0118
Build memory
3657262458.24
F measure
0.5785
Per class
Kappa
-0.0473
KB relative information score
-37.8418
Mean absolute error
0.2899
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
0.5003
Per class
Predictive accuracy
0.6856
Prior entropy
1.0305
Recall
0.6856
Per class
Relative absolute error
1.0097
Root mean prior squared error
0.3755
Root mean squared error
0.3959
Root relative squared error
1.0544
SciMark benchmark
930.9027