DEVELOPMENT... OpenML
Run
126657

Run 126657

Task 3741 (Supervised Classification) fri_c2_250_50 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
0.6503
Per class
Build CPU time
0.2368
Build memory
706713048
F measure
0.6044
Per class
Kappa
0.2025
KB relative information score
47.7597
Mean absolute error
0.3997
Mean prior absolute error
0.4954
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
0.605
Per class
Predictive accuracy
0.604
Prior entropy
0.9934
Recall
0.604
Per class
Relative absolute error
0.8069
Root mean prior squared error
0.4977
Root mean squared error
0.5886
Root relative squared error
1.1826
SciMark benchmark
929.5397