Implement the knn algorithm using the caret package

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Reference no: EM133756950

Question: Use caret to split and preprocess the dataset, perform hyperparameter tuning, and train and evaluate models. Follow and complete the code for the following steps using R and RStrudio. Each step contains some starter code lines that can help guide you in your implementation. The code within is incomplete and your task is to complete it at each step. You do not have to use the starter code provided here, and you may start from scratch and use other functions if you wish.

Keep in mind that your code must run with no errors to receive any credit.

Instructions:

Download Data: The loan data file (.csv) is attached separately in the assignment.
Download assignment guide attached: The guide includes a series of required steps to implement the KNN algorithm using the caret package. In each step, there are some starter code lines that you may wish to use. You may start your code from scratch if you wish, however, you must demonstrate each step regradless of whether you start with the code provided or if you choose to use your own (or) other packages or functions.
Implement the steps in R.
Extract and interpret the results: make sure to print your training and testing results, as well as any corresponding graphs, especially for cross validation results. Report the area under the curve.

Reference no: EM133756950

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