DEVELOPMENT... OpenML
Run
57527

Run 57527

Task 1705 (Learning Curve) letter 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
0.8462 ± 0.0038
Per class
Build CPU time
2.4728
Build memory
2721463764.1778
F measure
0.6388 ± 0.0087
Per class
Kappa
0.6276 ± 0.0087
KB relative information score
0.1519 ± 0.0016
Mean absolute error
0.0718 ± 0
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6567 ± 0.01
Per class
Predictive accuracy
0.6419 ± 0.0084
Prior entropy
4.6998 ± 0.0001
Recall
0.6419 ± 0.0084
Per class
Relative absolute error
0.9709 ± 0.0005
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1868 ± 0.0001
Root relative squared error
0.9715 ± 0.0004
SciMark benchmark
1792.3312