Run
401707

Run 401707

Task 4395 (Supervised Classification) boston_corrected Uploaded 17-04-2015 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

0.9309
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8496
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6946
Cross-validation details (10 times 10-fold Crossvalidation)
2960.1543
Cross-validation details (10 times 10-fold Crossvalidation)
0.2142
Cross-validation details (10 times 10-fold Crossvalidation)
0.493
Cross-validation details (10 times 10-fold Crossvalidation)
5060
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8496
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8498
Cross-validation details (10 times 10-fold Crossvalidation)
0.9899
Cross-validation details (10 times 10-fold Crossvalidation)
0.8498
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4345
Cross-validation details (10 times 10-fold Crossvalidation)
0.4965
Cross-validation details (10 times 10-fold Crossvalidation)
0.3243
Cross-validation details (10 times 10-fold Crossvalidation)
0.6533
Cross-validation details (10 times 10-fold Crossvalidation)
923.509
50
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
50
Cross-validation details (10 times 10-fold Crossvalidation)