DEVELOPMENT... OpenML
Run
128055

Run 128055

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)_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
0.6957
Per class
Build CPU time
0.0159
Build memory
608816325.9792
F measure
0.6665
Per class
Kappa
0.2556
KB relative information score
155.391
Mean absolute error
0.3538
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
0.6633
Per class
Predictive accuracy
0.6732
Prior entropy
0.9335
Recall
0.6732
Per class
Relative absolute error
0.7784
Root mean prior squared error
0.4766
Root mean squared error
0.4953
Root relative squared error
1.0391
SciMark benchmark
929.5397