DEVELOPMENT... OpenML
Run
49001

Run 49001

Task 2097 (Learning Curve) satimage 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
0.9037 ± 0.0077
Per class
Build CPU time
0.0515
Build memory
2364403164.1143
F measure
0.6617 ± 0.032
Per class
Kappa
0.5884 ± 0.0365
KB relative information score
0.213 ± 0.0076
Mean absolute error
0.2467 ± 0.0013
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6795 ± 0.0294
Per class
Predictive accuracy
0.668 ± 0.0295
Prior entropy
2.4834 ± 0.0009
Recall
0.668 ± 0.0295
Per class
Relative absolute error
0.9133 ± 0.0049
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.3339 ± 0.0017
Root relative squared error
0.9085 ± 0.0045
SciMark benchmark
1655.4655