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Run
48968

Run 48968

Task 1701 (Learning Curve) anneal 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
0.937 ± 0.0305
Per class
Build CPU time
0.0468
Build memory
2912069259.9111
F measure
0.8174 ± 0.0472
Per class
Kappa
0.6184 ± 0.068
KB relative information score
0.3116 ± 0.1524
Mean absolute error
0.1185 ± 0.0255
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8828 ± 0.0198
Per class
Predictive accuracy
0.8007 ± 0.0507
Prior entropy
1.1915 ± 0.026
Recall
0.8007 ± 0.0507
Per class
Relative absolute error
0.8821 ± 0.1871
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.23 ± 0.0251
Root relative squared error
0.8906 ± 0.0943
SciMark benchmark
1655.4655

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