DEVELOPMENT... OpenML
Run
49019

Run 49019

Task 1728 (Learning Curve) credit-approval 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_OneR(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_OneR(2)_I10
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.8602 ± 0.0575
Per class
Build CPU time
0.0034
Build memory
1316238386
F measure
0.7711 ± 0.0826
Per class
Kappa
0.5367 ± 0.1683
KB relative information score
0.4846 ± 0.1256
Mean absolute error
0.2606 ± 0.0589
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7712 ± 0.083
Per class
Predictive accuracy
0.771 ± 0.0816
Prior entropy
0.9912 ± 0.0022
Recall
0.771 ± 0.0816
Per class
Relative absolute error
0.5276 ± 0.1194
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.399 ± 0.0544
Root relative squared error
0.8029 ± 0.1095
SciMark benchmark
1655.4655