Run
209421

Run 209421

Task 3586 (Supervised Classification) abalone Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_DecisionStump(12)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I160
weka.AdaBoostM1_DecisionStump(12)_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

0.8585
Per class
Cross-validation details (10-fold Crossvalidation)
0.7744
Per class
Cross-validation details (10-fold Crossvalidation)
0.549
Cross-validation details (10-fold Crossvalidation)
1774.537
Cross-validation details (10-fold Crossvalidation)
0.3011
Cross-validation details (10-fold Crossvalidation)
0.5
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]
0.7748
Per class
Cross-validation details (10-fold Crossvalidation)
0.7745
Cross-validation details (10-fold Crossvalidation)
1
Cross-validation details (10-fold Crossvalidation)
0.7745
Per class
Cross-validation details (10-fold Crossvalidation)
0.6023
Cross-validation details (10-fold Crossvalidation)
0.5
Cross-validation details (10-fold Crossvalidation)
0.3916
Cross-validation details (10-fold Crossvalidation)
0.7831
Cross-validation details (10-fold Crossvalidation)
930.5999
1460
Cross-validation details (10-fold Crossvalidation)
40
Cross-validation details (10-fold Crossvalidation)
1420
Cross-validation details (10-fold Crossvalidation)