DEVELOPMENT... OpenML
Run
125387

Run 125387

Task 3658 (Supervised Classification) fri_c3_250_10 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
0.6795
Per class
Build CPU time
0.0132
Build memory
3230117436.8
F measure
0.6471
Per class
Kappa
0.2887
KB relative information score
45.8233
Mean absolute error
0.4153
Mean prior absolute error
0.4968
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
0.647
Per class
Predictive accuracy
0.648
Prior entropy
0.9955
Recall
0.648
Per class
Relative absolute error
0.836
Root mean prior squared error
0.4984
Root mean squared error
0.485
Root relative squared error
0.9732
SciMark benchmark
943.2074