DEVELOPMENT... OpenML
Run
48652

Run 48652

Task 1736 (Learning Curve) diabetes Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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)_I10
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
0.8078 ± 0.0326
Per class
Build CPU time
0.0406
Build memory
2752265996.8
F measure
0.756 ± 0.033
Per class
Kappa
0.4558 ± 0.0749
KB relative information score
0.3758 ± 0.058
Mean absolute error
0.2814 ± 0.0238
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7551 ± 0.0333
Per class
Predictive accuracy
0.7604 ± 0.0316
Prior entropy
0.9331 ± 0.0046
Recall
0.7604 ± 0.0316
Per class
Relative absolute error
0.6191 ± 0.0519
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4237 ± 0.0292
Root relative squared error
0.8888 ± 0.0607
SciMark benchmark
1723.761