Run
206304

Run 206304

Task 277 (Supervised Classification) tae 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)_I40
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

0.4745
Per class
Cross-validation details (33% Holdout set)
0.2501
Per class
Cross-validation details (33% Holdout set)
-0.0189
Cross-validation details (33% Holdout set)
2.4444
Cross-validation details (33% Holdout set)
0.4504
Cross-validation details (33% Holdout set)
0.4445
Cross-validation details (33% Holdout set)
49
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]
0.205
Per class
Cross-validation details (33% Holdout set)
0.3265
Cross-validation details (33% Holdout set)
1.5845
Cross-validation details (33% Holdout set)
0.3265
Per class
Cross-validation details (33% Holdout set)
1.0133
Cross-validation details (33% Holdout set)
0.4715
Cross-validation details (33% Holdout set)
0.4986
Cross-validation details (33% Holdout set)
1.0575
Cross-validation details (33% Holdout set)
909.1698