Run
235890

Run 235890

Task 1774 (Supervised Classification) lymph Uploaded 02-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FT(1)Joao Gama (2004). Functional Trees. Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees.
weka.FT(1)_I15
weka.FT(1)_F0
weka.FT(1)_M15
weka.FT(1)_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

0.8673
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.8083
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.6383
Cross-validation details (5 times 2-fold Crossvalidation)
471.2881
Cross-validation details (5 times 2-fold Crossvalidation)
0.0991
Cross-validation details (5 times 2-fold Crossvalidation)
0.2677
Cross-validation details (5 times 2-fold Crossvalidation)
740
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8091
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.8081
Cross-validation details (5 times 2-fold Crossvalidation)
1.2818
Cross-validation details (5 times 2-fold Crossvalidation)
0.8081
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.3701
Cross-validation details (5 times 2-fold Crossvalidation)
0.3639
Cross-validation details (5 times 2-fold Crossvalidation)
0.2835
Cross-validation details (5 times 2-fold Crossvalidation)
0.7789
Cross-validation details (5 times 2-fold Crossvalidation)
918.6005
30
Cross-validation details (5 times 2-fold Crossvalidation)
10
Cross-validation details (5 times 2-fold Crossvalidation)
20
Cross-validation details (5 times 2-fold Crossvalidation)