Run
377334

Run 377334

Task 4545 (Supervised Classification) letter Uploaded 30-03-2015 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

0.9853
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9824
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.767
Cross-validation details (10 times 10-fold Crossvalidation)
-84436.4185
Cross-validation details (10 times 10-fold Crossvalidation)
0.0536
Cross-validation details (10 times 10-fold Crossvalidation)
0.078
Cross-validation details (10 times 10-fold Crossvalidation)
200000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9822
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.983
Cross-validation details (10 times 10-fold Crossvalidation)
0.2455
Cross-validation details (10 times 10-fold Crossvalidation)
0.983
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6867
Cross-validation details (10 times 10-fold Crossvalidation)
0.1975
Cross-validation details (10 times 10-fold Crossvalidation)
0.1295
Cross-validation details (10 times 10-fold Crossvalidation)
0.6559
Cross-validation details (10 times 10-fold Crossvalidation)
1342.8632
1780
Cross-validation details (10 times 10-fold Crossvalidation)
20
Cross-validation details (10 times 10-fold Crossvalidation)
1760
Cross-validation details (10 times 10-fold Crossvalidation)