DEVELOPMENT... OpenML
Run
49102

Run 49102

Task 2098 (Learning Curve) abalone 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
0.7675 ± 0.0111
Per class
Build CPU time
1.1292
Build memory
2100944257.3539
Kappa
0.165 ± 0.0215
KB relative information score
0.2421 ± 0.0131
Mean absolute error
0.0565 ± 0.0004
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2717 ± 0.0186
Prior entropy
3.6031 ± 0.0188
Recall
0.2717 ± 0.0186
Per class
Relative absolute error
0.9149 ± 0.0066
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1678 ± 0.0008
Root relative squared error
0.9552 ± 0.0045
SciMark benchmark
1655.4655