Run
411700

Run 411700

Task 4517 (Supervised Classification) arsenic-female-bladder Uploaded 01-05-2015 by Joaquin Vanschoren
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Flow

weka.Dagging_DecisionStump(3)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(3)_F10
weka.Dagging_DecisionStump(3)_S1
weka.Dagging_DecisionStump(3)_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

0.7731
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7921
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0064
Cross-validation details (10 times 10-fold Crossvalidation)
-456.8749
Cross-validation details (10 times 10-fold Crossvalidation)
0.2196
Cross-validation details (10 times 10-fold Crossvalidation)
0.2462
Cross-validation details (10 times 10-fold Crossvalidation)
5590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8778
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8574
Cross-validation details (10 times 10-fold Crossvalidation)
0.5956
Cross-validation details (10 times 10-fold Crossvalidation)
0.8574
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8921
Cross-validation details (10 times 10-fold Crossvalidation)
0.3502
Cross-validation details (10 times 10-fold Crossvalidation)
0.3289
Cross-validation details (10 times 10-fold Crossvalidation)
0.9391
Cross-validation details (10 times 10-fold Crossvalidation)
933.0918
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)