DEVELOPMENT... OpenML
Run
49107

Run 49107

Task 2102 (Learning Curve) eucalyptus 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
0.9047 ± 0.021
Per class
Build CPU time
0.2421
Build memory
2452109586.4
F measure
0.658 ± 0.0834
Per class
Kappa
0.5656 ± 0.1007
KB relative information score
0.5601 ± 0.0478
Mean absolute error
0.1718 ± 0.0136
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6582 ± 0.0846
Per class
Predictive accuracy
0.663 ± 0.0772
Prior entropy
2.2621 ± 0.0043
Recall
0.663 ± 0.0772
Per class
Relative absolute error
0.5483 ± 0.0435
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3032 ± 0.0202
Root relative squared error
0.7661 ± 0.0509
SciMark benchmark
1655.4655