1. Perform 3-fold and 10-fold Cross Validation (use 100 rounds) of LDA with the Box-Cox transformation on Liver Disorders Data.
2. Perform 10-fold crossvalidation(CV) of random forest on Liver Disorders Data.
Run the function for sensitivity but with CV, that is, explore optimality and sensitivity to:
[login to view URL] choice of 10 random seeds (they will serve as 10 rounds)
b.“mtry” - the number of variables randomly sampled as candidates at each split (use
values from the lecture)
c.“nodesize” - the minimum size of terminal nodes (use values from the lecture)
[login to view URL] of trees (500 and 1,000)
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HI, I am Data Scientist and have good experience in python and R programming. My area of interest is analyzing datasets and apply ML/deep learning algorithm. I can intern your tasks. Kind Regards
Hi, I have worked on housing price prediction in R that involved regression & random forest. I would like to work on your project. Let me know if you want to discuss further. Regards, Monir