Run
475060

Run 475060

Task 4494 (Supervised Classification) fri_c0_500_25 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

0.8959
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8005
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6009
Cross-validation details (10 times 10-fold Crossvalidation)
2094.3394
Cross-validation details (10 times 10-fold Crossvalidation)
0.309
Cross-validation details (10 times 10-fold Crossvalidation)
0.4998
Cross-validation details (10 times 10-fold Crossvalidation)
5000
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]
0.8006
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8006
Cross-validation details (10 times 10-fold Crossvalidation)
0.9997
Cross-validation details (10 times 10-fold Crossvalidation)
0.8006
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6183
Cross-validation details (10 times 10-fold Crossvalidation)
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
0.3692
Cross-validation details (10 times 10-fold Crossvalidation)
0.7385
Cross-validation details (10 times 10-fold Crossvalidation)
972.587
90
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
90
Cross-validation details (10 times 10-fold Crossvalidation)