Run
416785

Run 416785

Task 4417 (Supervised Classification) wind Uploaded 07-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I10
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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

0.895
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8176
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6345
Cross-validation details (10 times 10-fold Crossvalidation)
41530.9155
Cross-validation details (10 times 10-fold Crossvalidation)
0.1833
Cross-validation details (10 times 10-fold Crossvalidation)
0.4979
Cross-validation details (10 times 10-fold Crossvalidation)
65740
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]
0.8188
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8174
Cross-validation details (10 times 10-fold Crossvalidation)
0.9969
Cross-validation details (10 times 10-fold Crossvalidation)
0.8174
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3681
Cross-validation details (10 times 10-fold Crossvalidation)
0.4989
Cross-validation details (10 times 10-fold Crossvalidation)
0.414
Cross-validation details (10 times 10-fold Crossvalidation)
0.8298
Cross-validation details (10 times 10-fold Crossvalidation)
929.0296
250
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
240
Cross-validation details (10 times 10-fold Crossvalidation)