DEVELOPMENT... OpenML
Run
129858

Run 129858

Task 37 (Supervised Classification) diabetes Uploaded 25-12-2014 by Felicia West
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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)_I80
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
0.7452
Per class
Build CPU time
0.19
Build memory
215704356.6667
F measure
0.6841
Per class
Kappa
0.3029
KB relative information score
215.5944
Mean absolute error
0.3133
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6833
Per class
Predictive accuracy
0.6849
Prior entropy
0.9335
Recall
0.6849
Per class
Relative absolute error
0.6894
Root mean prior squared error
0.4766
Root mean squared error
0.5275
Root relative squared error
1.1067
SciMark benchmark
916.8903