Deep Learning, Evaluation Metric, Loss Function, Data Science, Model Evaluation.
difference decreases. We know that in binary classification, the outcome can either be 0 or 1. So, if yi becomes 1, it will automatically imply that 1-yi become zero. Source Pros Most commonly used loss for binary classification problems It is easily differentiable Cons Less intuitive and may have