Run
244035

Run 244035

Task 3643 (Supervised Classification) sleuth_ex1714 Uploaded 03-03-2015 by Joaquin Vanschoren
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Flow

weka.Logistic(5)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(5)_R1.0E-8
weka.Logistic(5)_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.

22 Evaluation measures

Area under ROC curve
0.8463
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8306
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6563
Cross-validation details (10-fold Crossvalidation)
KB relative information score
25.2596
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2303
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4894
Cross-validation details (10-fold Crossvalidation)
Number of instances
47
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8344
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8298
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9852
Cross-validation details (10-fold Crossvalidation)
Recall
0.8298
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4706
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4944
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3944
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7977
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.6051
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)