OpenML
146788

Run 146788

Task 3872 (Supervised Classification) white-clover 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

0.6921
Per class
Cross-validation details (10-fold Crossvalidation)
0.712
Per class
Cross-validation details (10-fold Crossvalidation)
0.3949
Cross-validation details (10-fold Crossvalidation)
24.6661
Cross-validation details (10-fold Crossvalidation)
0.2862
Cross-validation details (10-fold Crossvalidation)
0.4794
Cross-validation details (10-fold Crossvalidation)
63
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]
0.7112
Per class
Cross-validation details (10-fold Crossvalidation)
0.7143
Cross-validation details (10-fold Crossvalidation)
0.971
Cross-validation details (10-fold Crossvalidation)
0.7143
Per class
Cross-validation details (10-fold Crossvalidation)
0.597
Cross-validation details (10-fold Crossvalidation)
0.4893
Cross-validation details (10-fold Crossvalidation)
0.5344
Cross-validation details (10-fold Crossvalidation)
1.0922
Cross-validation details (10-fold Crossvalidation)
904.3001
140
Cross-validation details (10-fold Crossvalidation)
140
Cross-validation details (10-fold Crossvalidation)