DEVELOPMENT... OpenML
Run
33343

Run 33343

Task 3656 (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
0.6946
Per class
Build CPU time
0.0687
Build memory
1273023976.9302
F measure
0.6703
Per class
Kappa
0.3049
KB relative information score
9.4103
Mean absolute error
0.3809
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6691
Per class
Predictive accuracy
0.6744
Prior entropy
0.971
Recall
0.6744
Per class
Relative absolute error
0.795
Root mean prior squared error
0.4889
Root mean squared error
0.4628
Root relative squared error
0.9464
SciMark benchmark
942.0116