DEVELOPMENT... OpenML
Run
33006

Run 33006

Task 4361 (Supervised Classification) diabetes_numeric Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.6842
Per class
Build CPU time
0.0528
Build memory
414167729.0605
F measure
0.6698
Per class
Kappa
0.3017
KB relative information score
87.9916
Mean absolute error
0.3884
Mean prior absolute error
0.4791
Number of instances
430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6717
Per class
Predictive accuracy
0.6791
Prior entropy
0.971
Recall
0.6791
Per class
Relative absolute error
0.8107
Root mean prior squared error
0.4889
Root mean squared error
0.4698
Root relative squared error
0.9608
SciMark benchmark
941.9664