DEVELOPMENT... OpenML
Run
126600

Run 126600

Task 3676 (Supervised Classification) rmftsa_ctoarrivals 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
0.9803
Per class
Build CPU time
0.0112
Build memory
1535675775.3939
F measure
0.9277
Per class
Kappa
0.8462
KB relative information score
220.0071
Mean absolute error
0.078
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.928
Per class
Predictive accuracy
0.928
Prior entropy
0.9604
Recall
0.928
Per class
Relative absolute error
0.1651
Root mean prior squared error
0.486
Root mean squared error
0.2427
Root relative squared error
0.4993
SciMark benchmark
937.9119