DEVELOPMENT... OpenML
Run
49410

Run 49410

Task 1722 (Learning Curve) cmc 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
0.6953 ± 0.0262
Per class
Build CPU time
0.0691
Build memory
1681051142.64
F measure
0.5086 ± 0.0433
Per class
Kappa
0.2344 ± 0.0678
KB relative information score
0.1766 ± 0.0186
Mean absolute error
0.3839 ± 0.0072
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5092 ± 0.0468
Per class
Predictive accuracy
0.5126 ± 0.0426
Prior entropy
1.539 ± 0.0029
Recall
0.5126 ± 0.0426
Per class
Relative absolute error
0.8912 ± 0.0174
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4383 ± 0.0068
Root relative squared error
0.9443 ± 0.015
SciMark benchmark
1655.4655