Run
365559

Run 365559

Task 4536 (Supervised Classification) analcatdata_birthday Uploaded 29-03-2015 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

0.9296
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8757
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4854
Cross-validation details (10 times 10-fold Crossvalidation)
1185.4044
Cross-validation details (10 times 10-fold Crossvalidation)
0.14
Cross-validation details (10 times 10-fold Crossvalidation)
0.2496
Cross-validation details (10 times 10-fold Crossvalidation)
3650
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.8731
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8795
Cross-validation details (10 times 10-fold Crossvalidation)
0.6026
Cross-validation details (10 times 10-fold Crossvalidation)
0.8795
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.561
Cross-validation details (10 times 10-fold Crossvalidation)
0.3523
Cross-validation details (10 times 10-fold Crossvalidation)
0.2692
Cross-validation details (10 times 10-fold Crossvalidation)
0.7642
Cross-validation details (10 times 10-fold Crossvalidation)
1339.6197
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)