DEVELOPMENT... OpenML
Run
57531

Run 57531

Task 1764 (Learning Curve) electricity Uploaded 13-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.7934 ± 0.0067
Per class
Build CPU time
0.2174
Build memory
1800383363.68
F measure
0.7338 ± 0.0119
Per class
Kappa
0.4556 ± 0.0199
KB relative information score
0.358 ± 0.0077
Mean absolute error
0.3254 ± 0.004
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7586 ± 0.0074
Per class
Predictive accuracy
0.7461 ± 0.0064
Prior entropy
0.9835 ± 0
Recall
0.7461 ± 0.0064
Per class
Relative absolute error
0.6659 ± 0.0083
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.423 ± 0.0031
Root relative squared error
0.8559 ± 0.0064
SciMark benchmark
1792.3312