DEVELOPMENT... OpenML
Run
126526

Run 126526

Task 3596 (Supervised Classification) fri_c1_250_5 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)_I40
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
0.7865
Per class
Build CPU time
0.0065
Build memory
563422721.6
F measure
0.7103
Per class
Kappa
0.4195
KB relative information score
81.6503
Mean absolute error
0.3484
Mean prior absolute error
0.4989
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7131
Per class
Predictive accuracy
0.712
Prior entropy
0.9984
Recall
0.712
Per class
Relative absolute error
0.6985
Root mean prior squared error
0.4994
Root mean squared error
0.4394
Root relative squared error
0.8797
SciMark benchmark
929.5397