DEVELOPMENT... OpenML
Run
49024

Run 49024

Task 1736 (Learning Curve) diabetes Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I10
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.6896 ± 0.03
Per class
Build CPU time
0.0036
Build memory
1752341853.8
F measure
0.6692 ± 0.0348
Per class
Kappa
0.2632 ± 0.075
KB relative information score
0.1928 ± 0.0512
Mean absolute error
0.3577 ± 0.0197
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
0.6663 ± 0.0361
Per class
Predictive accuracy
0.6745 ± 0.0356
Prior entropy
0.9331 ± 0.0046
Recall
0.6745 ± 0.0356
Per class
Relative absolute error
0.787 ± 0.0427
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4938 ± 0.0221
Root relative squared error
1.036 ± 0.046
SciMark benchmark
1655.4655