Deep Learning, Evaluation Metric, Loss Function, Data Science, Model Evaluation.
Intuitive and easy to understand Unit remains same as the involved features Robust to outliers — always preferred when data has outliers Cons Not easily differentiable — computationally complex Due to this it becomes a difficult choice for algorithms like Gradient descent which heavily involve