Run
209695

Run 209695

Task 3863 (Supervised Classification) hypothyroid Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_DecisionStump(12)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(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I160
weka.AdaBoostM1_DecisionStump(12)_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.

22 Evaluation measures

0.9954
Per class
Cross-validation details (10-fold Crossvalidation)
0.9952
Per class
Cross-validation details (10-fold Crossvalidation)
0.9665
Cross-validation details (10-fold Crossvalidation)
3534.2042
Cross-validation details (10-fold Crossvalidation)
0.0071
Cross-validation details (10-fold Crossvalidation)
0.1426
Cross-validation details (10-fold Crossvalidation)
3772
Per class
Cross-validation details (10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9952
Per class
Cross-validation details (10-fold Crossvalidation)
0.9952
Cross-validation details (10-fold Crossvalidation)
0.3928
Cross-validation details (10-fold Crossvalidation)
0.9952
Per class
Cross-validation details (10-fold Crossvalidation)
0.0499
Cross-validation details (10-fold Crossvalidation)
0.2668
Cross-validation details (10-fold Crossvalidation)
0.0651
Cross-validation details (10-fold Crossvalidation)
0.2441
Cross-validation details (10-fold Crossvalidation)
1280.6952
1350
Cross-validation details (10-fold Crossvalidation)
20
Cross-validation details (10-fold Crossvalidation)
1330
Cross-validation details (10-fold Crossvalidation)