DEVELOPMENT... OpenML
Run
130184

Run 130184

Task 3656 (Supervised Classification) diabetes_numeric 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
0.6652
Per class
Build CPU time
0.0046
Build memory
961006176.5581
F measure
0.6959
Per class
Kappa
0.3611
KB relative information score
11.5785
Mean absolute error
0.3466
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
0.695
Per class
Predictive accuracy
0.6977
Prior entropy
0.971
Recall
0.6977
Per class
Relative absolute error
0.7235
Root mean prior squared error
0.4889
Root mean squared error
0.5413
Root relative squared error
1.1071
SciMark benchmark
939.0159