Run
49594

Run 49594

Task 1752 (Learning Curve) vehicle Uploaded 06-11-2014 by Jan van Rijn
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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
0.9329 ± 0.0174
Per class
Build CPU time
0.134
Build memory
224323774.1333
F measure
0.7648 ± 0.0386
Per class
Kappa
0.6926 ± 0.0461
KB relative information score
0.6503 ± 0.0385
Mean absolute error
0.1664 ± 0.0165
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7617 ± 0.0406
Per class
Predictive accuracy
0.7695 ± 0.0346
Prior entropy
1.9991 ± 0.0005
Recall
0.7695 ± 0.0346
Per class
Relative absolute error
0.4439 ± 0.044
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.2765 ± 0.0168
Root relative squared error
0.6386 ± 0.0389
SciMark benchmark
1652.2022