DEVELOPMENT... OpenML
Run
49473

Run 49473

Task 1728 (Learning Curve) credit-approval 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.

21 Evaluation measures

Area under ROC curve
0.923 ± 0.0388
Per class
Build CPU time
0.0446
Build memory
2730944203.6
F measure
0.8468 ± 0.0297
Per class
Kappa
0.6914 ± 0.0594
KB relative information score
0.6173 ± 0.063
Mean absolute error
0.1993 ± 0.0296
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8492 ± 0.0287
Per class
Predictive accuracy
0.8464 ± 0.0299
Prior entropy
0.9912 ± 0.0022
Recall
0.8464 ± 0.0299
Per class
Relative absolute error
0.4035 ± 0.06
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3228 ± 0.0436
Root relative squared error
0.6495 ± 0.0881
SciMark benchmark
1655.4655