DEVELOPMENT... OpenML
Run
125047

Run 125047

Task 23 (Supervised Classification) cmc Uploaded 25-12-2014 by Felicia West
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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)_I160
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
0.6276
Per class
Build CPU time
0.0566
Build memory
763037590.3652
F measure
0.5118
Per class
Kappa
0.2564
KB relative information score
39.419
Mean absolute error
0.4406
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.527
Per class
Predictive accuracy
0.5071
Prior entropy
1.5392
Recall
0.5071
Per class
Relative absolute error
1.0228
Root mean prior squared error
0.4641
Root mean squared error
0.4676
Root relative squared error
1.0076
SciMark benchmark
943.5504