DEVELOPMENT... OpenML
Run
49110

Run 49110

Task 1711 (Learning Curve) mfeat-factors 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
0.9977 ± 0.0016
Per class
Build CPU time
2.0303
Build memory
2307998913.1636
F measure
0.9725 ± 0.0133
Per class
Kappa
0.9694 ± 0.0149
KB relative information score
0.9706 ± 0.012
Mean absolute error
0.0075 ± 0.0027
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9725 ± 0.0123
Per class
Predictive accuracy
0.9725 ± 0.0134
Prior entropy
3.3219
Recall
0.9725 ± 0.0134
Per class
Relative absolute error
0.0414 ± 0.015
Root mean prior squared error
0.3
Root mean squared error
0.0652 ± 0.0157
Root relative squared error
0.2172 ± 0.0522
SciMark benchmark
1655.4655