Run
244187

Run 244187

Task 3796 (Supervised Classification) fri_c4_250_25 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
0.6548
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5964
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1874
Cross-validation details (10-fold Crossvalidation)
KB relative information score
36.4255
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4268
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4962
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
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
0.5969
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.596
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9945
Cross-validation details (10-fold Crossvalidation)
Recall
0.596
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8601
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4981
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9986
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.6051
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)