👉 Atloglossia is a statistical measure used in machine learning to evaluate the performance of a model. It's defined as the average loss function value over a given set of training examples, where the loss function is calculated using the cross-entropy loss or the mean squared error (MSE). Atloglossia can be considered an evaluation metric that measures the difference between the predicted and actual output values for each example in the dataset. It's often used as a tool to assess how well a model
