Run
419805

Run 419805

Task 2142 (Supervised Classification) BNG(breast-w) Uploaded 08-05-2015 by Joaquin Vanschoren
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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)_I80
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

0.9972
Per class
Cross-validation details (10-fold Crossvalidation)
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
0.9604
Cross-validation details (10-fold Crossvalidation)
37696.4135
Cross-validation details (10-fold Crossvalidation)
0.0185
Cross-validation details (10-fold Crossvalidation)
0.4514
Cross-validation details (10-fold Crossvalidation)
39366
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]
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
0.9821
Cross-validation details (10-fold Crossvalidation)
0.9287
Cross-validation details (10-fold Crossvalidation)
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
0.041
Cross-validation details (10-fold Crossvalidation)
0.4751
Cross-validation details (10-fold Crossvalidation)
0.127
Cross-validation details (10-fold Crossvalidation)
0.2673
Cross-validation details (10-fold Crossvalidation)
938.3115
14430
Cross-validation details (10-fold Crossvalidation)
140
Cross-validation details (10-fold Crossvalidation)
14290
Cross-validation details (10-fold Crossvalidation)