DEVELOPMENT... OpenML
Run
48990

Run 48990

Task 1735 (Learning Curve) segment 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
0.938 ± 0.0085
Per class
Build CPU time
0.105
Build memory
3227916668.7333
F measure
0.7784 ± 0.0162
Per class
Kappa
0.7672 ± 0.0155
KB relative information score
0.664 ± 0.0069
Mean absolute error
0.122 ± 0.0017
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8189 ± 0.0281
Per class
Predictive accuracy
0.8004 ± 0.0133
Prior entropy
2.8074
Recall
0.8004 ± 0.0133
Per class
Relative absolute error
0.498 ± 0.0069
Root mean prior squared error
0.3499
Root mean squared error
0.2084 ± 0.0038
Root relative squared error
0.5956 ± 0.0109
SciMark benchmark
1655.4655