DEVELOPMENT... OpenML
Run
49100

Run 49100

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.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
0.9805 ± 0.0033
Per class
Build CPU time
1.1188
Build memory
2754181031.4857
F measure
0.8504 ± 0.0142
Per class
Kappa
0.8224 ± 0.0166
KB relative information score
0.8154 ± 0.0096
Mean absolute error
0.0667 ± 0.0025
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
0.8482 ± 0.0141
Per class
Predictive accuracy
0.8569 ± 0.0133
Prior entropy
2.4834 ± 0.0009
Recall
0.8569 ± 0.0133
Per class
Relative absolute error
0.2467 ± 0.0092
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1814 ± 0.0074
Root relative squared error
0.4935 ± 0.02
SciMark benchmark
1655.4655