These machine learning algorithms behave as follows. The Linear Regression and Curve-Fit models determine a mathematical function that best models a set of data points using least squares optimization between expected and predicted outputs [ ]. The Lasso Regression and Ridge Regression models improve upon a primary shortcoming of least squares optimizationoverfitting to the training data by introducing 11 and 12 penalty terms to regularize training .