DEVELOPMENT... OpenML
Run
49029

Run 49029

Task 1752 (Learning Curve) vehicle 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
0.7471 ± 0.0323
Per class
Build CPU time
0.0046
Build memory
2717307715.2889
F measure
0.5143 ± 0.0615
Per class
Kappa
0.3572 ± 0.0821
KB relative information score
0.1393 ± 0.0094
Mean absolute error
0.3493 ± 0.0024
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5137 ± 0.0654
Per class
Predictive accuracy
0.5177 ± 0.0617
Prior entropy
1.9991 ± 0.0005
Recall
0.5177 ± 0.0617
Per class
Relative absolute error
0.9319 ± 0.0063
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4085 ± 0.0036
Root relative squared error
0.9437 ± 0.0082
SciMark benchmark
1655.4655