Daily update | 31 December, 2022
StackExchange
Would adding Elastic Net as an additional Benchmark add any value when LASSO is already an included benchmark?

Source: datascience
Views: 73
Score: 3
Tags: machine-learning feature-selection feature-engineering research
Why do you take the natural logarithm plus one?

Source: stats
Views: 35
Score: 3
Tags: regression nonlinear
Built three logit models, one with oversampling, undersampling, and one without sampling. My AUC is the same for all three. Why is that?

Source: stats
Views: 21
Score: 3
Tags: r regression sampling econometrics auc
How to efficiently fit a spline with a linear piece between two constant pieces

Source: stats
Views: 24
Score: 2
Tags: python splines change-point
Why is a logistic regression model using glm() different from a linear model with a logit transformation of the response using lm()?

Source: stats
Views: 56
Score: 2
Tags: r regression logistic generalized-linear-model