DEVELOPMENT... OpenML
Run
48965

Run 48965

Task 2098 (Learning Curve) abalone 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.

19 Evaluation measures

Area under ROC curve
0.7077 ± 0.008
Per class
Build CPU time
0.0335
Build memory
2732981997.5385
Kappa
0.1407 ± 0.0189
KB relative information score
0.2162 ± 0.0088
Mean absolute error
0.0558 ± 0.0006
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2389 ± 0.0168
Prior entropy
3.6031 ± 0.0188
Recall
0.2389 ± 0.0168
Per class
Relative absolute error
0.9027 ± 0.0094
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1881 ± 0.0017
Root relative squared error
1.0706 ± 0.0099
SciMark benchmark
1655.4655