Run
148061

Run 148061

Task 3628 (Supervised Classification) fri_c2_100_10 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

0.8008
Per class
Cross-validation details (10-fold Crossvalidation)
0.7279
Per class
Cross-validation details (10-fold Crossvalidation)
0.449
Cross-validation details (10-fold Crossvalidation)
29.4181
Cross-validation details (10-fold Crossvalidation)
0.3676
Cross-validation details (10-fold Crossvalidation)
0.4951
Cross-validation details (10-fold Crossvalidation)
100
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]
0.7296
Per class
Cross-validation details (10-fold Crossvalidation)
0.73
Cross-validation details (10-fold Crossvalidation)
0.9931
Cross-validation details (10-fold Crossvalidation)
0.73
Per class
Cross-validation details (10-fold Crossvalidation)
0.7425
Cross-validation details (10-fold Crossvalidation)
0.4975
Cross-validation details (10-fold Crossvalidation)
0.4232
Cross-validation details (10-fold Crossvalidation)
0.8507
Cross-validation details (10-fold Crossvalidation)
901.0726
Cross-validation details (10-fold Crossvalidation)
Cross-validation details (10-fold Crossvalidation)