Run
146435

Run 146435

Task 210 (Supervised Classification) BNG(vehicle,nominal,1000000) Uploaded 01-02-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_J48(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.AdaBoostM1_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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

0.8956
Per class
Cross-validation details (10-fold Crossvalidation)
0.703
Per class
Cross-validation details (10-fold Crossvalidation)
0.6109
Cross-validation details (10-fold Crossvalidation)
430391.7144
Cross-validation details (10-fold Crossvalidation)
0.2589
Cross-validation details (10-fold Crossvalidation)
0.3748
Cross-validation details (10-fold Crossvalidation)
1000000
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]
0.703
Per class
Cross-validation details (10-fold Crossvalidation)
0.708
Cross-validation details (10-fold Crossvalidation)
1.999
Cross-validation details (10-fold Crossvalidation)
0.708
Per class
Cross-validation details (10-fold Crossvalidation)
0.6908
Cross-validation details (10-fold Crossvalidation)
0.4329
Cross-validation details (10-fold Crossvalidation)
0.3318
Cross-validation details (10-fold Crossvalidation)
0.7665
Cross-validation details (10-fold Crossvalidation)
942.0096
437450
Cross-validation details (10-fold Crossvalidation)
10420
Cross-validation details (10-fold Crossvalidation)
427030
Cross-validation details (10-fold Crossvalidation)