Run
244716

Run 244716

Task 4558 (Supervised Classification) eucalyptus 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
0.8089
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.742
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3675
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1937.9872
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2902
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4127
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
7360
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7396
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7451
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8704
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7451
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7031
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4541
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.402
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8851
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1313.5726
UserCPU time millis
90
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
90
Cross-validation details (10 times 10-fold Crossvalidation)