Run
355386

Run 355386

Task 4517 (Supervised Classification) arsenic-female-bladder Uploaded 28-03-2015 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

0.8045
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8295
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2034
Cross-validation details (10 times 10-fold Crossvalidation)
-1781.2677
Cross-validation details (10 times 10-fold Crossvalidation)
0.2344
Cross-validation details (10 times 10-fold Crossvalidation)
0.2462
Cross-validation details (10 times 10-fold Crossvalidation)
5590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.8406
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8664
Cross-validation details (10 times 10-fold Crossvalidation)
0.5956
Cross-validation details (10 times 10-fold Crossvalidation)
0.8664
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9523
Cross-validation details (10 times 10-fold Crossvalidation)
0.3502
Cross-validation details (10 times 10-fold Crossvalidation)
0.327
Cross-validation details (10 times 10-fold Crossvalidation)
0.9337
Cross-validation details (10 times 10-fold Crossvalidation)
1274.7011
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)