Run
207768

Run 207768

Task 1799 (Supervised Classification) dermatology 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

0.7951
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.3594
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.335
Cross-validation details (5 times 2-fold Crossvalidation)
649.0318
Cross-validation details (5 times 2-fold Crossvalidation)
0.1953
Cross-validation details (5 times 2-fold Crossvalidation)
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.3012
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.4934
Cross-validation details (5 times 2-fold Crossvalidation)
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
0.4934
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.7331
Cross-validation details (5 times 2-fold Crossvalidation)
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
0.3147
Cross-validation details (5 times 2-fold Crossvalidation)
0.8625
Cross-validation details (5 times 2-fold Crossvalidation)
854.5188
10
Cross-validation details (5 times 2-fold Crossvalidation)
10
Cross-validation details (5 times 2-fold Crossvalidation)