DEVELOPMENT... OpenML
Run
115586

Run 115586

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I80
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
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
0.56
Per class
Build CPU time
0.0047
Build memory
873404218.7907
F measure
0.5556
Per class
Kappa
0.0663
KB relative information score
3.1493
Mean absolute error
0.4402
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
0.5537
Per class
Predictive accuracy
0.5581
Prior entropy
0.971
Recall
0.5581
Per class
Relative absolute error
0.9188
Root mean prior squared error
0.4889
Root mean squared error
0.5747
Root relative squared error
1.1753
SciMark benchmark
939.6298