DEVELOPMENT... OpenML
Run
115856

Run 115856

Task 267 (Supervised Classification) diabetes 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)_I160
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
0.8028
Per class
Build CPU time
0.197
Build memory
1196446088
F measure
0.7408
Per class
Kappa
0.4441
KB relative information score
96.0059
Mean absolute error
0.2824
Mean prior absolute error
0.4589
Number of instances
253
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7433
Per class
Predictive accuracy
0.7391
Prior entropy
0.9335
Recall
0.7391
Per class
Relative absolute error
0.6153
Root mean prior squared error
0.4813
Root mean squared error
0.4415
Root relative squared error
0.9175
SciMark benchmark
893.4088