Run
417272

Run 417272

Task 2075 (Supervised Classification) abalone Uploaded 07-05-2015 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)_I20
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

0.6312
Per class
Cross-validation details (10-fold Crossvalidation)
0.0877
Per class
Cross-validation details (10-fold Crossvalidation)
0.0778
Cross-validation details (10-fold Crossvalidation)
578.2535
Cross-validation details (10-fold Crossvalidation)
0.0595
Cross-validation details (10-fold Crossvalidation)
0.0618
Cross-validation details (10-fold Crossvalidation)
4177
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]
0.0557
Per class
Cross-validation details (10-fold Crossvalidation)
0.2109
Cross-validation details (10-fold Crossvalidation)
3.6268
Cross-validation details (10-fold Crossvalidation)
0.2109
Per class
Cross-validation details (10-fold Crossvalidation)
0.9634
Cross-validation details (10-fold Crossvalidation)
0.1757
Cross-validation details (10-fold Crossvalidation)
0.1726
Cross-validation details (10-fold Crossvalidation)
0.982
Cross-validation details (10-fold Crossvalidation)
938.3115
40
Cross-validation details (10-fold Crossvalidation)
20
Cross-validation details (10-fold Crossvalidation)
20
Cross-validation details (10-fold Crossvalidation)