Run
125811

Run 125811

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 25-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_NaiveBayes(2)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_NaiveBayes(2)_I80
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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.

21 Evaluation measures

Area under ROC curve
0.6123
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.018
Cross-validation details (33% Holdout set)
Build memory
425892400
Cross-validation details (33% Holdout set)
F measure
0.3958
Per class
Cross-validation details (33% Holdout set)
Kappa
0.0835
Cross-validation details (33% Holdout set)
KB relative information score
-1.374
Cross-validation details (33% Holdout set)
Mean absolute error
0.3601
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2983
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5833
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.3333
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.3333
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.2069
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.4362
Cross-validation details (33% Holdout set)
Root relative squared error
1.1225
Cross-validation details (33% Holdout set)
SciMark benchmark
909.5718