Run
270632

Run 270632

Task 4296 (Supervised Classification) bank8FM Uploaded 06-03-2015 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

0.9744
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9064
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8051
Cross-validation details (10 times 10-fold Crossvalidation)
54317.8011
Cross-validation details (10 times 10-fold Crossvalidation)
0.1769
Cross-validation details (10 times 10-fold Crossvalidation)
0.4815
Cross-validation details (10 times 10-fold Crossvalidation)
81920
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9064
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9066
Cross-validation details (10 times 10-fold Crossvalidation)
0.9731
Cross-validation details (10 times 10-fold Crossvalidation)
0.9066
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3675
Cross-validation details (10 times 10-fold Crossvalidation)
0.4906
Cross-validation details (10 times 10-fold Crossvalidation)
0.261
Cross-validation details (10 times 10-fold Crossvalidation)
0.532
Cross-validation details (10 times 10-fold Crossvalidation)
904.3681
480
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
470
Cross-validation details (10 times 10-fold Crossvalidation)