OpenML
146834

Run 146834

Task 3920 (Supervised Classification) mw1 Uploaded 01-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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

0.7605
Per class
Cross-validation details (10-fold Crossvalidation)
0.8935
Per class
Cross-validation details (10-fold Crossvalidation)
0.1862
Cross-validation details (10-fold Crossvalidation)
5.8609
Cross-validation details (10-fold Crossvalidation)
0.1006
Cross-validation details (10-fold Crossvalidation)
0.1438
Cross-validation details (10-fold Crossvalidation)
403
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]
0.8859
Per class
Cross-validation details (10-fold Crossvalidation)
0.9032
Cross-validation details (10-fold Crossvalidation)
0.3987
Cross-validation details (10-fold Crossvalidation)
0.9032
Per class
Cross-validation details (10-fold Crossvalidation)
0.6994
Cross-validation details (10-fold Crossvalidation)
0.2665
Cross-validation details (10-fold Crossvalidation)
0.3054
Cross-validation details (10-fold Crossvalidation)
1.1462
Cross-validation details (10-fold Crossvalidation)
939.2687
150
Cross-validation details (10-fold Crossvalidation)
150
Cross-validation details (10-fold Crossvalidation)