DEVELOPMENT... OpenML
Run
127729

Run 127729

Task 3598 (Supervised Classification) fri_c0_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)_I10
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
0.8707
Per class
Build CPU time
0.1149
Build memory
609939710.4
F measure
0.7641
Per class
Kappa
0.5268
KB relative information score
132.9592
Mean absolute error
0.2328
Mean prior absolute error
0.498
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
0.7645
Per class
Predictive accuracy
0.764
Prior entropy
0.9971
Recall
0.764
Per class
Relative absolute error
0.4675
Root mean prior squared error
0.499
Root mean squared error
0.4443
Root relative squared error
0.8903
SciMark benchmark
943.2074