Machine Learning, Deep Learning, Artificial Intelligence, AI, Neural Networks.
Source Bias-Variance Trade-off Generalization (test) error is the most important metric in Machine/Deep Learning. It gives us an estimate on the performance of the model on unseen data. Test error is decomposed into 3 parts (see figure 1): Variance, Squared-Bias, and Irreducible Error. Figure 1: