Run
383570

Run 383570

Task 4417 (Supervised Classification) wind Uploaded 03-04-2015 by Joaquin Vanschoren
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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

0.9215
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8382
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6749
Cross-validation details (10 times 10-fold Crossvalidation)
30456.98
Cross-validation details (10 times 10-fold Crossvalidation)
0.2874
Cross-validation details (10 times 10-fold Crossvalidation)
0.4979
Cross-validation details (10 times 10-fold Crossvalidation)
65740
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8383
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8384
Cross-validation details (10 times 10-fold Crossvalidation)
0.9969
Cross-validation details (10 times 10-fold Crossvalidation)
0.8384
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5772
Cross-validation details (10 times 10-fold Crossvalidation)
0.4989
Cross-validation details (10 times 10-fold Crossvalidation)
0.348
Cross-validation details (10 times 10-fold Crossvalidation)
0.6976
Cross-validation details (10 times 10-fold Crossvalidation)
937.9625
620
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
610
Cross-validation details (10 times 10-fold Crossvalidation)