Introducing classification methods using MATLAB

Classification methods are an essential component of machine learning and data analysis. These methods allow us to categorize data into predefined classes or groups based on specific characteristics or attributes. By utilizing classification algorithms, we can train models to make predictions or assign labels to new, unseen data points. Classification plays a vital role in various domains, including image recognition, spam filtering, sentiment analysis, fraud detection, and medical diagnosis. It enables us to make informed decisions, identify patterns, and gain insights from data.

There are numerous classification algorithms available, each with its own strengths, assumptions, and applications. Some common classification methods include decision trees, support vector machines (SVMs), random forests, logistic regression, and naive Bayes classifiers. SVM has two variations: SVC for classification and SVR for regression. To effectively...