Run
147873

Run 147873

Task 2136 (Supervised Classification) BNG(anneal.ORIG) Uploaded 03-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Dagging_DecisionStump(2)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(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_DecisionStump(2)_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

0.5877
Per class
Cross-validation details (10-fold Crossvalidation)
0.6559
Per class
Cross-validation details (10-fold Crossvalidation)
132120.9859
Cross-validation details (10-fold Crossvalidation)
0.1285
Cross-validation details (10-fold Crossvalidation)
0.1343
Cross-validation details (10-fold Crossvalidation)
1000000
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.5771
Per class
Cross-validation details (10-fold Crossvalidation)
0.7597
Cross-validation details (10-fold Crossvalidation)
1.2034
Cross-validation details (10-fold Crossvalidation)
0.7597
Per class
Cross-validation details (10-fold Crossvalidation)
0.9569
Cross-validation details (10-fold Crossvalidation)
0.2592
Cross-validation details (10-fold Crossvalidation)
0.2535
Cross-validation details (10-fold Crossvalidation)
0.9782
Cross-validation details (10-fold Crossvalidation)
917.7039
19120
Cross-validation details (10-fold Crossvalidation)
1190
Cross-validation details (10-fold Crossvalidation)
17930
Cross-validation details (10-fold Crossvalidation)