Run
411755

Run 411755

Task 4573 (Supervised Classification) glass 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

0.7222
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6764
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2805
Cross-validation details (10 times 10-fold Crossvalidation)
250.2222
Cross-validation details (10 times 10-fold Crossvalidation)
0.4095
Cross-validation details (10 times 10-fold Crossvalidation)
0.4584
Cross-validation details (10 times 10-fold Crossvalidation)
2140
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]
0.7007
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7075
Cross-validation details (10 times 10-fold Crossvalidation)
0.9397
Cross-validation details (10 times 10-fold Crossvalidation)
0.7075
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8932
Cross-validation details (10 times 10-fold Crossvalidation)
0.4786
Cross-validation details (10 times 10-fold Crossvalidation)
0.4462
Cross-validation details (10 times 10-fold Crossvalidation)
0.9324
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)