Run
410895

Run 410895

Task 2983 (Supervised Classification) lung-cancer 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

0.5872
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.424
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1739
Cross-validation details (10 times 10-fold Crossvalidation)
36.2753
Cross-validation details (10 times 10-fold Crossvalidation)
0.4238
Cross-validation details (10 times 10-fold Crossvalidation)
0.4393
Cross-validation details (10 times 10-fold Crossvalidation)
320
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]
0.4359
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4406
Cross-validation details (10 times 10-fold Crossvalidation)
1.57
Cross-validation details (10 times 10-fold Crossvalidation)
0.4406
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9646
Cross-validation details (10 times 10-fold Crossvalidation)
0.4684
Cross-validation details (10 times 10-fold Crossvalidation)
0.4704
Cross-validation details (10 times 10-fold Crossvalidation)
1.0043
Cross-validation details (10 times 10-fold Crossvalidation)
931.7994
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)