Run
144396

Run 144396

Task 3688 (Supervised Classification) houses Uploaded 31-01-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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

0.9982
Per class
Cross-validation details (10-fold Crossvalidation)
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
0.9536
Cross-validation details (10-fold Crossvalidation)
19523.4662
Cross-validation details (10-fold Crossvalidation)
0.0273
Cross-validation details (10-fold Crossvalidation)
0.4907
Cross-validation details (10-fold Crossvalidation)
20640
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
0.9772
Cross-validation details (10-fold Crossvalidation)
0.9866
Cross-validation details (10-fold Crossvalidation)
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
0.0557
Cross-validation details (10-fold Crossvalidation)
0.4953
Cross-validation details (10-fold Crossvalidation)
0.1288
Cross-validation details (10-fold Crossvalidation)
0.2601
Cross-validation details (10-fold Crossvalidation)
902.4773
11920
Cross-validation details (10-fold Crossvalidation)
150
Cross-validation details (10-fold Crossvalidation)
11770
Cross-validation details (10-fold Crossvalidation)