I am trying to search for a best parameter combination for my model (RandomForestRegressor) using RandomizedSearchCV. But I am facing a challenge. RandomizedSearchCV seems to be taking eternity before it runs and bring an output. It has been running for a very long time now without any output.

I’ve fitted this logistic model:
model <- glm(Groupe~Cluster+age, family=”binomial”,data= base)
And I’d like to present the results as a forest plot using this code:
forest_model(model, exponentiate=TRUE) but I’d like the x-axis scale to be logarithmic, which I can’t manage to do.