DEVELOPMENT... OpenML
Run
49115

Run 49115

Task 1717 (Learning Curve) mfeat-morphological 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
0.9653 ± 0.0051
Per class
Build CPU time
0.2528
Build memory
2598094340.6545
F measure
0.7404 ± 0.0308
Per class
Kappa
0.7133 ± 0.0339
KB relative information score
0.7614 ± 0.0172
Mean absolute error
0.0669 ± 0.0034
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
0.7438 ± 0.031
Per class
Predictive accuracy
0.742 ± 0.0305
Prior entropy
3.3219
Recall
0.742 ± 0.0305
Per class
Relative absolute error
0.3716 ± 0.019
Root mean prior squared error
0.3
Root mean squared error
0.1804 ± 0.0068
Root relative squared error
0.6013 ± 0.0225
SciMark benchmark
1655.4655