3 Classification and regression algorithms

Machine learning algorithms for predicting or categorizing data include classification and regression techniques. Regression algorithms are used to forecast a continuous numerical value, such as the anticipated value of a stock price. In contrast, classification algorithms predict a discrete label, such as whether something is a cat or a dog. The accuracy of the algorithm’s predictions and classifications determines how effective a prediction or classification is. Decision trees, support vector machines, k-nearest neighbors, and naive Bayes are examples of standard classification techniques. Regression methods often used include generalized, polynomial, and linear regression.