Run
554447

Run 554447

Task 3765 (Supervised Classification) sleuth_case2002 Uploaded 10-04-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.Logistic(6)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(6)_R1.0E-8
weka.Logistic(6)_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
0.7136
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6262
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.252
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29.0822
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4071
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
147
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.628
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6259
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9974
Cross-validation details (10-fold Crossvalidation)
Recall
0.6259
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8171
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4631
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9279
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1834.908
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)