The reward function encourages solutions close to the decision boundary while penalizing those ... support vector machine (SVM), neural networks, decision trees (DT), and random forest (RF ...
SVM classifies data into two or more classes by finding a decision boundary (hyperplane) that maximizes the separation margin between classes. During training, the SVM algorithm identifies this ...