Run
451415

Run 451415

Task 1788 (Supervised Classification) mushroom Uploaded 20-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.LADTree(4)Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
weka.LADTree(4)_B10

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

1
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9989
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9977
Cross-validation details (5 times 2-fold Crossvalidation)
39184.8508
Cross-validation details (5 times 2-fold Crossvalidation)
0.0227
Cross-validation details (5 times 2-fold Crossvalidation)
0.4994
Cross-validation details (5 times 2-fold Crossvalidation)
40620
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]
0.9989
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9989
Cross-validation details (5 times 2-fold Crossvalidation)
0.9991
Cross-validation details (5 times 2-fold Crossvalidation)
0.9989
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.0455
Cross-validation details (5 times 2-fold Crossvalidation)
0.4997
Cross-validation details (5 times 2-fold Crossvalidation)
0.0549
Cross-validation details (5 times 2-fold Crossvalidation)
0.1099
Cross-validation details (5 times 2-fold Crossvalidation)
936.2574
5960
Cross-validation details (5 times 2-fold Crossvalidation)
10
Cross-validation details (5 times 2-fold Crossvalidation)
5950
Cross-validation details (5 times 2-fold Crossvalidation)