Run
207712

Run 207712

Task 269 (Supervised Classification) sonar 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)_I80
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

0.8352
Per class
Cross-validation details (33% Holdout set)
0.7626
Per class
Cross-validation details (33% Holdout set)
0.5207
Cross-validation details (33% Holdout set)
34.7037
Cross-validation details (33% Holdout set)
0.2425
Cross-validation details (33% Holdout set)
0.4971
Cross-validation details (33% Holdout set)
68
Per class
Cross-validation details (33% Holdout set)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.766
Per class
Cross-validation details (33% Holdout set)
0.7647
Cross-validation details (33% Holdout set)
0.9968
Cross-validation details (33% Holdout set)
0.7647
Per class
Cross-validation details (33% Holdout set)
0.4879
Cross-validation details (33% Holdout set)
0.4982
Cross-validation details (33% Holdout set)
0.4653
Cross-validation details (33% Holdout set)
0.9341
Cross-validation details (33% Holdout set)
942.6843
350
Cross-validation details (33% Holdout set)
350
Cross-validation details (33% Holdout set)