Trends in the BA-RB-I coefficients at the three levels of the U-smile method for four new models derived from the test dataset across imbalance ranging from 1% to 99% of the event class.

Trends in the BA-RB-I coefficients at the three levels of the U-smile method for four new models derived from the test dataset across imbalance ranging from 1% to 99% of the event class.

<p>Two informative variables (ST depression and Str Rnd normal) and two non-informative variables (glucose and Rnd normal) were added to the reference model. Level 1 refers to the subclass-specific coefficients, level 2 to the class-specific net coefficients, and level 3 to the weighted overal...

Full description

Saved in:
Bibliographic Details
Main Author: Barbara Więckowska (536264) (author)
Other Authors: Katarzyna B. Kubiak (18585116) (author), Przemysław Guzik (18585122) (author)
Published: 2025
Subjects:
Medicine
Science Policy
Infectious Diseases
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
proved highly effective
net reclassification index
nested setting ).
matthews correlation coefficient
heart disease dataset
generated random variables
certain traditional measures
higher imbalance levels
defined imbalance levels
imbalanced binary classification
xlink "> real
using real data
reference model overfitted
entire imbalance range
brier skill score
smile method indicated
reference prediction model
majority class outnumbers
new variable added
reference model
imbalance range
class imbalance
smile method
majority class
variable selection
prediction improvement
imbalanced datasets
smile plots
smile plot
minority class
event class
class balance
weighting factor
useful tool
seven pre
reference models
ratio test
previously developed
point size
life problems
level approach
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items