Run
475091

Run 475091

Task 4525 (Supervised Classification) braziltourism Uploaded 14-09-2015 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

0.7005
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7361
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1877
Cross-validation details (10 times 10-fold Crossvalidation)
-522.4242
Cross-validation details (10 times 10-fold Crossvalidation)
0.3532
Cross-validation details (10 times 10-fold Crossvalidation)
0.3529
Cross-validation details (10 times 10-fold Crossvalidation)
4120
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]
0.7439
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7806
Cross-validation details (10 times 10-fold Crossvalidation)
0.7771
Cross-validation details (10 times 10-fold Crossvalidation)
0.7806
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
1.0007
Cross-validation details (10 times 10-fold Crossvalidation)
0.4196
Cross-validation details (10 times 10-fold Crossvalidation)
0.407
Cross-validation details (10 times 10-fold Crossvalidation)
0.9698
Cross-validation details (10 times 10-fold Crossvalidation)
972.587
10
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)