DEVELOPMENT... OpenML
Run
130510

Run 130510

Task 267 (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)_I160
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
0.6812
Per class
Build CPU time
0.307
Build memory
88444552
F measure
0.644
Per class
Kappa
0.2236
KB relative information score
57.6694
Mean absolute error
0.3414
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
0.6413
Per class
Predictive accuracy
0.6482
Prior entropy
0.9335
Recall
0.6482
Per class
Relative absolute error
0.7439
Root mean prior squared error
0.4813
Root mean squared error
0.5674
Root relative squared error
1.179
SciMark benchmark
927.3354