Long story short, I had a MLbeginner project in which I had to train a dataset consisitinf of 440k rows and 15 columns on xg boost,,, I did this and made a pipeline of hyperparameter tuning in which I am doing out of fold target encoding on two columns with k fold cross validation with k=5 and then I am doing randomised search Cv(attaching the parameters I am using) AND ITS TAKING HOURS TO RUN and it has not run yet .. I am not sure what to do really. I have a laptop which has an i7 13650 hx and rtx 4060 for gpu but the kernel isn't utilising gpu at all and I have the deadline as today, if someone can help pls do help And yes I am using device=cuda and tree method= hist How can I fasten this up, is my code or something wrong and how do I actually use my rtx 4060 gpu so it runs?? I am running it in my vs code and the kernel it shows is gpu_env(Python 3.10.20) submitted by /u/AttorneyExtension993 [link] [comments]