Run
452576

Run 452576

Task 1819 (Supervised Classification) vote Uploaded 22-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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

0.9885
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9514
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.8977
Cross-validation details (5 times 2-fold Crossvalidation)
1851.1148
Cross-validation details (5 times 2-fold Crossvalidation)
0.0764
Cross-validation details (5 times 2-fold Crossvalidation)
0.4742
Cross-validation details (5 times 2-fold Crossvalidation)
2175
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]
0.9516
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9513
Cross-validation details (5 times 2-fold Crossvalidation)
0.9627
Cross-validation details (5 times 2-fold Crossvalidation)
0.9513
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.161
Cross-validation details (5 times 2-fold Crossvalidation)
0.4869
Cross-validation details (5 times 2-fold Crossvalidation)
0.1867
Cross-validation details (5 times 2-fold Crossvalidation)
0.3834
Cross-validation details (5 times 2-fold Crossvalidation)
935.2002
10
Cross-validation details (5 times 2-fold Crossvalidation)
10
Cross-validation details (5 times 2-fold Crossvalidation)