Run
148362

Run 148362

Task 3939 (Supervised Classification) lymphoma_9classes 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

0.7219
Per class
Cross-validation details (10-fold Crossvalidation)
0.3774
Per class
Cross-validation details (10-fold Crossvalidation)
0.1071
Cross-validation details (10-fold Crossvalidation)
15.9698
Cross-validation details (10-fold Crossvalidation)
0.1421
Cross-validation details (10-fold Crossvalidation)
0.1647
Cross-validation details (10-fold Crossvalidation)
96
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]
0.3935
Per class
Cross-validation details (10-fold Crossvalidation)
0.5104
Cross-validation details (10-fold Crossvalidation)
2.564
Cross-validation details (10-fold Crossvalidation)
0.5104
Per class
Cross-validation details (10-fold Crossvalidation)
0.8627
Cross-validation details (10-fold Crossvalidation)
0.2845
Cross-validation details (10-fold Crossvalidation)
0.2682
Cross-validation details (10-fold Crossvalidation)
0.9428
Cross-validation details (10-fold Crossvalidation)
947.9494
120
Cross-validation details (10-fold Crossvalidation)
120
Cross-validation details (10-fold Crossvalidation)