DEVELOPMENT... OpenML
Run
11603

Run 11603

Task 37 (Supervised Classification) diabetes Uploaded 22-05-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(1)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(1)_I20
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8123
Per class
F measure
0.7432
Per class
Kappa
0.4266
KB relative information score
249.7737
Mean absolute error
0.3093
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
0.7424
Per class
Predictive accuracy
0.7487
Prior entropy
0.9335
Recall
0.7487
Per class
Relative absolute error
0.6804
Root mean prior squared error
0.4766
Root mean squared error
0.4102
Root relative squared error
0.8607
SciMark benchmark
944.6294[566.67985740389281015.2555353338006478.0684770170223909.90626928802961753.2370197795062]

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