Deep Learning, Evaluation Metric, Loss Function, Data Science, Model Evaluation.
encoding instead of One hot encoding. This prevents any sparse features and makes the working faster. 3. Hinge Loss Another commonly used Loss Function for classification problems — specially designed for SVM (support vector machines) classification algorithm (with labels as -1 and 1, not 0 and 1).