DEVELOPMENT... OpenML
Run
48031

Run 48031

Task 1730 (Learning Curve) credit-g Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Logistic(3)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(3)_R1.0E-8
weka.Logistic(3)_M-1

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
0.7761 ± 0.0368
Per class
Build CPU time
0.0218
Build memory
2523208293.9556
F measure
0.7411 ± 0.0328
Per class
Kappa
0.3693 ± 0.0817
KB relative information score
0.2368 ± 0.0418
Mean absolute error
0.3134 ± 0.014
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7381 ± 0.0353
Per class
Predictive accuracy
0.749 ± 0.0325
Prior entropy
0.8813
Recall
0.749 ± 0.0325
Per class
Relative absolute error
0.746 ± 0.0333
Root mean prior squared error
0.4583
Root mean squared error
0.4126 ± 0.0165
Root relative squared error
0.9004 ± 0.036
SciMark benchmark
1193.7396