Run
282616

Run 282616

Task 4597 (Supervised Classification) hiva_agnostic Uploaded 09-03-2015 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

0.7391
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.95
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.071
Cross-validation details (10 times 10-fold Crossvalidation)
-252724.8152
Cross-validation details (10 times 10-fold Crossvalidation)
0.1396
Cross-validation details (10 times 10-fold Crossvalidation)
0.0682
Cross-validation details (10 times 10-fold Crossvalidation)
42290
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9484
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9645
Cross-validation details (10 times 10-fold Crossvalidation)
0.221
Cross-validation details (10 times 10-fold Crossvalidation)
0.9645
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
2.0471
Cross-validation details (10 times 10-fold Crossvalidation)
0.1844
Cross-validation details (10 times 10-fold Crossvalidation)
0.2041
Cross-validation details (10 times 10-fold Crossvalidation)
1.1072
Cross-validation details (10 times 10-fold Crossvalidation)
1346.3935
34670
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
34660
Cross-validation details (10 times 10-fold Crossvalidation)