👉 Misderive is a term used in the field of computer science and artificial intelligence, particularly in the context of machine learning and deep learning. It refers to an error that occurs when a model's predictions are not as accurate or relevant as expected due to issues with data, training process, or other factors. In simpler terms, misderive refers to making mistakes in a machine learning algorithm or neural network by using incorrect features or parameters during training. This can lead to inaccurate predictions and make the model less effective