The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for kNN, Random Forest and XGBoost techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.
You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
Points will be deducted in case you fail to explain the output.
Please note that all code assignments must be submitted as a screenshot with a slice of your desktop showing the timestamp.
If the time and date are not visible, you will be graded 0.
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