DEVELOPMENT... OpenML
Run
126914

Run 126914

Task 273 (Supervised Classification) spambase 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)_I20
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
0.8395
Per class
Build CPU time
0.521
Build memory
730007104
F measure
0.7915
Per class
Kappa
0.5919
KB relative information score
532.9514
Mean absolute error
0.328
Mean prior absolute error
0.4764
Number of instances
1518
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8445
Per class
Predictive accuracy
0.7899
Prior entropy
0.9674
Recall
0.7899
Per class
Relative absolute error
0.6886
Root mean prior squared error
0.4875
Root mean squared error
0.4069
Root relative squared error
0.8347
SciMark benchmark
943.2074