DEVELOPMENT... OpenML
Run
49559

Run 49559

Task 1742 (Learning Curve) spambase 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
0.9724 ± 0.0077
Per class
Build CPU time
0.6043
Build memory
2828464500.8
F measure
0.928 ± 0.0111
Per class
Kappa
0.8488 ± 0.0235
KB relative information score
0.76 ± 0.0177
Mean absolute error
0.1231 ± 0.0081
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9282 ± 0.0114
Per class
Predictive accuracy
0.9283 ± 0.0111
Prior entropy
0.9674 ± 0.0006
Recall
0.9283 ± 0.0111
Per class
Relative absolute error
0.2577 ± 0.017
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2417 ± 0.0144
Root relative squared error
0.4946 ± 0.0296
SciMark benchmark
1655.4655