DEVELOPMENT... OpenML
Run
31552

Run 31552

Task 264 (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
0.4421
Per class
Build CPU time
0.046
Build memory
925762536
F measure
0.5733
Per class
Kappa
-0.124
KB relative information score
-1.8341
Mean absolute error
0.2861
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5096
Per class
Predictive accuracy
0.6552
Prior entropy
1.0305
Recall
0.6552
Per class
Relative absolute error
1.0224
Root mean prior squared error
0.3657
Root mean squared error
0.3893
Root relative squared error
1.0645
SciMark benchmark
923.2559