Support Vector Machines (SVMs) are powerful supervised learning models whose predictive performance depends critically on the choice of hyperparameters, notably the regularisation constant (C) and ...

Support vector machines (SVMs) constitute a class of supervised learning models designed to perform classification by constructing a decision boundary, or hyperplane, that optimally separates data ...

On the previous (and first!) step in our journey — to understand the ins and outs of ML models by deep diving their hyperparameters — we got into linear regression. As it turns out, linear regression ...