Run
1603404

Run 1603404

Task 37 (Supervised Classification) diabetes Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(14)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(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I10
weka.AdaBoostM1_DecisionStump(14)_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.

17 Evaluation measures

Area under ROC curve
0.8065
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7399
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4185
Cross-validation details (10-fold Crossvalidation)
KB relative information score
240.4753
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3142
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7393
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7461
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7461
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6914
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4148
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8702
Cross-validation details (10-fold Crossvalidation)