Run
100525

Run 100525

Task 3621 (Supervised Classification) sleuth_ex1605 Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8606
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0015
Cross-validation details (10-fold Crossvalidation)
Build memory
88427414.4516
Cross-validation details (10-fold Crossvalidation)
F measure
0.7903
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5806
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28.2916
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.282
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
62
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
0.7906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7903
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7903
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.564
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3962
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7924
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.5