Run
553101

Run 553101

Task 13 (Supervised Classification) breast-cancer Uploaded 09-04-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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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)_I100
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.

22 Evaluation measures

0.6514
Per class
Cross-validation details (10-fold Crossvalidation)
0.6822
Per class
Cross-validation details (10-fold Crossvalidation)
0.2109
Cross-validation details (10-fold Crossvalidation)
31.2166
Cross-validation details (10-fold Crossvalidation)
0.3617
Cross-validation details (10-fold Crossvalidation)
0.4183
Cross-validation details (10-fold Crossvalidation)
286
Per class
Cross-validation details (10-fold Crossvalidation)
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
0.6772
Per class
Cross-validation details (10-fold Crossvalidation)
0.7028
Cross-validation details (10-fold Crossvalidation)
0.8796
Cross-validation details (10-fold Crossvalidation)
0.7028
Per class
Cross-validation details (10-fold Crossvalidation)
0.8648
Cross-validation details (10-fold Crossvalidation)
0.457
Cross-validation details (10-fold Crossvalidation)
0.4485
Cross-validation details (10-fold Crossvalidation)
0.9813
Cross-validation details (10-fold Crossvalidation)
1788.6668
15.625
Cross-validation details (10-fold Crossvalidation)
15.625
Cross-validation details (10-fold Crossvalidation)
Cross-validation details (10-fold Crossvalidation)