DEVELOPMENT... OpenML
Run
15619

Run 15619

Task 37 (Supervised Classification) diabetes Uploaded 04-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_SMO_PolyKernel(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_SMO_PolyKernel(1)_I40
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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.

17 Evaluation measures

Area under ROC curve
0.7896
Per class
F measure
0.7577
Per class
Kappa
0.455
KB relative information score
254.7996
Mean absolute error
0.3129
Mean prior absolute error
0.4545
Number of instances
768
Per class
Precision
0.7636
Per class
Predictive accuracy
0.7682
Prior entropy
0.9335
Recall
0.7682
Per class
Relative absolute error
0.6885
Root mean prior squared error
0.4766
Root mean squared error
0.4167
Root relative squared error
0.8743