Run
100750

Run 100750

Task 3873 (Supervised Classification) dermatology Uploaded 08-12-2014 by Joaquin Vanschoren
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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
0.9961
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0091
Cross-validation details (10-fold Crossvalidation)
Build memory
68893018.0765
Cross-validation details (10-fold Crossvalidation)
F measure
0.9945
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9872
Cross-validation details (10-fold Crossvalidation)
KB relative information score
360.4724
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0055
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
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
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9945
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9945
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0129
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0739
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1604
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.37