Can regression algorithms work with continuous data?
Regression algorithms are widely used in the field of machine learning to model and analyze the relationship between a dependent variable and one or more independent variables. Regression algorithms can indeed work with continuous data. In fact, regression is specifically designed to handle continuous variables, making it a powerful tool for analyzing and predicting numerical
Why is it important to choose the right algorithm and parameters in regression training and testing?
Choosing the right algorithm and parameters in regression training and testing is of utmost importance in the field of Artificial Intelligence and Machine Learning. Regression is a supervised learning technique used to model the relationship between a dependent variable and one or more independent variables. It is widely used for prediction and forecasting tasks. The
How can different algorithms and kernels affect the accuracy of a regression model in machine learning?
Different algorithms and kernels can have a significant impact on the accuracy of a regression model in machine learning. In regression, the goal is to predict a continuous outcome variable based on a set of input features. The choice of algorithm and kernel can affect how well the model captures the underlying patterns in the