Run
194167

Run 194167

Task 2372 (Supervised Classification) lung-cancer Uploaded 26-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.SimpleLogistic(3)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.SimpleLogistic(3)_I0
weka.SimpleLogistic(3)_M500
weka.SimpleLogistic(3)_H50
weka.SimpleLogistic(3)_W0.0

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

0.5899
Per class
Cross-validation details (10-fold Crossvalidation)
0.464
Per class
Cross-validation details (10-fold Crossvalidation)
0.1965
Cross-validation details (10-fold Crossvalidation)
6.4546
Cross-validation details (10-fold Crossvalidation)
0.3877
Cross-validation details (10-fold Crossvalidation)
0.4393
Cross-validation details (10-fold Crossvalidation)
32
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]
0.4754
Per class
Cross-validation details (10-fold Crossvalidation)
0.4688
Cross-validation details (10-fold Crossvalidation)
1.57
Cross-validation details (10-fold Crossvalidation)
0.4688
Per class
Cross-validation details (10-fold Crossvalidation)
0.8826
Cross-validation details (10-fold Crossvalidation)
0.4684
Cross-validation details (10-fold Crossvalidation)
0.5159
Cross-validation details (10-fold Crossvalidation)
1.1013
Cross-validation details (10-fold Crossvalidation)
895.5332
70
Cross-validation details (10-fold Crossvalidation)
70
Cross-validation details (10-fold Crossvalidation)