DEVELOPMENT... OpenML
Run
51497

Run 51497

Task 1711 (Learning Curve) mfeat-factors 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
0.9964 ± 0.0026
Per class
Build CPU time
59.7447
Build memory
209325764.6545
F measure
0.981 ± 0.0097
Per class
Kappa
0.9789 ± 0.0107
KB relative information score
0.9798 ± 0.009
Mean absolute error
0.0041 ± 0.0019
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.981 ± 0.0095
Per class
Predictive accuracy
0.981 ± 0.0097
Prior entropy
3.3219
Recall
0.981 ± 0.0097
Per class
Relative absolute error
0.0228 ± 0.0103
Root mean prior squared error
0.3
Root mean squared error
0.0599 ± 0.0125
Root relative squared error
0.1997 ± 0.0416
SciMark benchmark
945.56