DEVELOPMENT... OpenML
Run
49014

Run 49014

Task 1720 (Learning Curve) car 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.

19 Evaluation measures

Area under ROC curve
0.8927 ± 0.0207
Per class
Build CPU time
0.0022
Build memory
635831528.3636
Kappa
0.052 ± 0.1298
KB relative information score
-0.1249 ± 0.0173
Mean absolute error
0.2695 ± 0.0026
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7072 ± 0.0218
Prior entropy
1.2058 ± 0.0093
Recall
0.7072 ± 0.0218
Per class
Relative absolute error
1.1769 ± 0.0117
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.33 ± 0.0026
Root relative squared error
0.976 ± 0.0079
SciMark benchmark
1655.4655