jbkunst/klassets

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klassets The {klassets} package is a collection of functions to simulate data sets to: Teach how some Statistics Models and Machine Learning algorithms works. Illustrate certain some particular events such as heteroskedasticity or the Simpson’s paradox. Compare the predictions between models, for example logistic regression vs decision tree vs -Nearest Neighbours. Some examples Don’t forget to visualize the data library(klassets) set.seed(123) df <- sim_quasianscombe_set_1(beta0 = 3, beta1 = 0.5) plot(df)...