Summary
In this chapter, we have gained valuable insights into performing accurate classification tasks within the MATLAB environment. We began by delving into the realm of decision tree methods, where we familiarized ourselves with key concepts such as nodes, branches, and leaf nodes. By repeatedly dividing records into homogeneous subsets based on the target attribute, we learned how to classify objects into distinct classes effectively. Moreover, we explored the prediction aspect of SVMs, which are particularly effective in solving complex problems with a clear margin of separation between classes. SVMs can handle both linearly separable and non-linearly separable data by transforming the input space into a higher-dimensional feature space.
In the subsequent section, our focus shifted toward conducting precise regression analysis within the MATLAB environment. We commenced by delving into simple linear regression, gaining an understanding of its definition and the process of...
