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R Machine Learning Essentials by Michele Usuelli

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Summary

In this chapter, you learned how to identify homogeneous clusters and visualize the clustering process and results. You defined a feasible supervised machine learning problem and solved it using KNN. You evaluated the model, accuracy and modified its parameters. You also ranked the features and selected the most relevant.

In the next chapter, you will see a better approach to evaluating the accuracy of a supervised learning model. You will see a structured approach to optimizing the model parameters and selecting the most relevant features.

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