DEVELOPMENT... OpenML
Run
126023

Run 126023

Task 3704 (Supervised Classification) kdd_el_nino-small 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)_I80
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
0.9758
Per class
Build CPU time
0.097
Build memory
1521099531.8363
F measure
0.9284
Per class
Kappa
0.8427
KB relative information score
651.3963
Mean absolute error
0.0733
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9284
Per class
Predictive accuracy
0.9284
Prior entropy
0.9348
Recall
0.9284
Per class
Relative absolute error
0.1609
Root mean prior squared error
0.4771
Root mean squared error
0.2374
Root relative squared error
0.4976
SciMark benchmark
943.5504