Run
163900

Run 163900

Task 156 (Supervised Classification) BNG(segment) Uploaded 16-02-2015 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)_I80
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

0.7073
Per class
Cross-validation details (10-fold Crossvalidation)
0.1381
Per class
Cross-validation details (10-fold Crossvalidation)
0.1483
Cross-validation details (10-fold Crossvalidation)
263214.4678
Cross-validation details (10-fold Crossvalidation)
0.2111
Cross-validation details (10-fold Crossvalidation)
0.2449
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]
0.0996
Per class
Cross-validation details (10-fold Crossvalidation)
0.2704
Cross-validation details (10-fold Crossvalidation)
2.8074
Cross-validation details (10-fold Crossvalidation)
0.2704
Per class
Cross-validation details (10-fold Crossvalidation)
0.862
Cross-validation details (10-fold Crossvalidation)
0.3499
Cross-validation details (10-fold Crossvalidation)
0.3249
Cross-validation details (10-fold Crossvalidation)
0.9285
Cross-validation details (10-fold Crossvalidation)
876.8277
3000
Cross-validation details (10-fold Crossvalidation)
750
Cross-validation details (10-fold Crossvalidation)
2250
Cross-validation details (10-fold Crossvalidation)