DEVELOPMENT... OpenML
Run
49007

Run 49007

Task 1710 (Learning Curve) balance-scale 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
0.8997 ± 0.0329
Per class
Build CPU time
0.0015
Build memory
3806712804
Kappa
0.5371 ± 0.059
KB relative information score
0.2586 ± 0.0299
Mean absolute error
0.3071 ± 0.0101
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7504 ± 0.0319
Prior entropy
1.3181 ± 0.0124
Recall
0.7504 ± 0.0319
Per class
Relative absolute error
0.8086 ± 0.0261
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3548 ± 0.012
Root relative squared error
0.8145 ± 0.0269
SciMark benchmark
1655.4655