Run
580749

Run 580749

Task 37 (Supervised Classification) diabetes Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_RandomTree(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.AdaBoostM1_RandomTree(3)_P100
weka.AdaBoostM1_RandomTree(3)_S1
weka.AdaBoostM1_RandomTree(3)_I10
weka.AdaBoostM1_RandomTree(3)_Wweka.classifiers.trees.RandomTree

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

0.6551
Per class
Cross-validation details (10-fold Crossvalidation)
0.6863
Per class
Cross-validation details (10-fold Crossvalidation)
0.31
Cross-validation details (10-fold Crossvalidation)
215.9197
Cross-validation details (10-fold Crossvalidation)
0.3138
Cross-validation details (10-fold Crossvalidation)
0.4545
Cross-validation details (10-fold Crossvalidation)
768
Per class
Cross-validation details (10-fold Crossvalidation)
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
0.6865
Per class
Cross-validation details (10-fold Crossvalidation)
0.6862
Cross-validation details (10-fold Crossvalidation)
0.9335
Cross-validation details (10-fold Crossvalidation)
0.6862
Per class
Cross-validation details (10-fold Crossvalidation)
0.6904
Cross-validation details (10-fold Crossvalidation)
0.4766
Cross-validation details (10-fold Crossvalidation)
0.5602
Cross-validation details (10-fold Crossvalidation)
1.1753
Cross-validation details (10-fold Crossvalidation)
1301.0424
10
Cross-validation details (10-fold Crossvalidation)
10
Cross-validation details (10-fold Crossvalidation)