Run
474847

Run 474847

Task 4281 (Supervised Classification) sleuth_ex2015 Uploaded 14-09-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ADTree(4)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_S1

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

0.6287
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6178
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2367
Cross-validation details (10 times 10-fold Crossvalidation)
96.3657
Cross-validation details (10 times 10-fold Crossvalidation)
0.4278
Cross-validation details (10 times 10-fold Crossvalidation)
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
600
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
0.619
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6183
Cross-validation details (10 times 10-fold Crossvalidation)
1
Cross-validation details (10 times 10-fold Crossvalidation)
0.6183
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8557
Cross-validation details (10 times 10-fold Crossvalidation)
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
0.5197
Cross-validation details (10 times 10-fold Crossvalidation)
1.0394
Cross-validation details (10 times 10-fold Crossvalidation)
972.587
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)