DEVELOPMENT... OpenML
Run
49109

Run 49109

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.SimpleLogistic(2)Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 675-683, 2005.
weka.SimpleLogistic(2)_H50
weka.SimpleLogistic(2)_I0
weka.SimpleLogistic(2)_M500
weka.SimpleLogistic(2)_W0.0

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
0.9765 ± 0.013
Per class
Build CPU time
0.025
Build memory
2898804878.4
Kappa
0.7685 ± 0.0497
KB relative information score
0.6332 ± 0.0928
Mean absolute error
0.1438 ± 0.0366
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
0.8752 ± 0.0269
Prior entropy
1.3181 ± 0.0124
Recall
0.8752 ± 0.0269
Per class
Relative absolute error
0.3788 ± 0.096
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2411 ± 0.029
Root relative squared error
0.5534 ± 0.0662
SciMark benchmark
1655.4655