DEVELOPMENT... OpenML
Run
108405

Run 108405

Task 37 (Supervised Classification) diabetes Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8238
Per class
Build CPU time
0.2414
Build memory
550081863.3021
F measure
0.7486
Per class
Kappa
0.4385
KB relative information score
277.0021
Mean absolute error
0.2907
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
0.7479
Per class
Predictive accuracy
0.7539
Prior entropy
0.9335
Recall
0.7539
Per class
Relative absolute error
0.6395
Root mean prior squared error
0.4766
Root mean squared error
0.4068
Root relative squared error
0.8535
SciMark benchmark
873.8637