Run
165523

Run 165523

Task 2137 (Supervised Classification) BNG(labor) Uploaded 17-02-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I160
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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

0.9813
Per class
Cross-validation details (10-fold Crossvalidation)
0.9337
Per class
Cross-validation details (10-fold Crossvalidation)
0.8534
Cross-validation details (10-fold Crossvalidation)
846718.8982
Cross-validation details (10-fold Crossvalidation)
0.0682
Cross-validation details (10-fold Crossvalidation)
0.4568
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]
0.9355
Per class
Cross-validation details (10-fold Crossvalidation)
0.9345
Cross-validation details (10-fold Crossvalidation)
0.9367
Cross-validation details (10-fold Crossvalidation)
0.9345
Per class
Cross-validation details (10-fold Crossvalidation)
0.1492
Cross-validation details (10-fold Crossvalidation)
0.4779
Cross-validation details (10-fold Crossvalidation)
0.2379
Cross-validation details (10-fold Crossvalidation)
0.4978
Cross-validation details (10-fold Crossvalidation)
942.1229
1616500
Cross-validation details (10-fold Crossvalidation)
9820
Cross-validation details (10-fold Crossvalidation)
1606680
Cross-validation details (10-fold Crossvalidation)