DEVELOPMENT... OpenML
Run
48996

Run 48996

Task 1752 (Learning Curve) vehicle Uploaded 06-11-2014 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
0.7635 ± 0.039
Per class
Build CPU time
0.0074
Build memory
2421050808.7111
F measure
0.3966 ± 0.0591
Per class
Kappa
0.2541 ± 0.0632
KB relative information score
0.3301 ± 0.0469
Mean absolute error
0.2872 ± 0.0167
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4925 ± 0.0762
Per class
Predictive accuracy
0.4362 ± 0.0481
Prior entropy
1.9991 ± 0.0005
Recall
0.4362 ± 0.0481
Per class
Relative absolute error
0.7662 ± 0.0446
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4678 ± 0.0225
Root relative squared error
1.0806 ± 0.0518
SciMark benchmark
1655.4655