DEVELOPMENT... OpenML
Run
51459

Run 51459

Task 72 (Learning Curve) breast-cancer Uploaded 06-11-2014 by Felicia West
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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
0.6347 ± 0.0998
Per class
Build CPU time
0.0112
Build memory
1008558150.5867
F measure
0.6731 ± 0.0711
Per class
Kappa
0.1909 ± 0.1721
KB relative information score
0.0794 ± 0.1143
Mean absolute error
0.3716 ± 0.0397
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6665 ± 0.0844
Per class
Predictive accuracy
0.6909 ± 0.0665
Prior entropy
0.8779 ± 0.0199
Recall
0.6909 ± 0.0665
Per class
Relative absolute error
0.8883 ± 0.0924
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4664 ± 0.0417
Root relative squared error
1.0205 ± 0.0893
SciMark benchmark
946.7958