DEVELOPMENT... OpenML
Run
128707

Run 128707

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)_I20
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
0.6712
Per class
Build CPU time
0.022
Build memory
889836552
F measure
0.6588
Per class
Kappa
0.2512
KB relative information score
56.8969
Mean absolute error
0.3467
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
0.6565
Per class
Predictive accuracy
0.668
Prior entropy
0.9335
Recall
0.668
Per class
Relative absolute error
0.7554
Root mean prior squared error
0.4813
Root mean squared error
0.5183
Root relative squared error
1.0769
SciMark benchmark
909.5718