Model validation is the process that follows model training. It allows us to assess the accuracy of a model by observing predictions it makes on unseen data.
Types of classification outputs Positive and negative outputs In a classification problem, there are 2 types of categories, positive and negative. Positive categories are labels with a particular characteristic that we are interested in. All the other categories are negative.…
What is a validation metric? A validation metric is a formula we use during model validation to confront the model predictions with the actual output values. The choice of a validation metric depends on the type of the problem. Validation…
What is model validation? Model validation is the step that comes after training. During model validation, we evaluate the accuracy of our model by seeing how it performs with data he hasn’t been trained on. This way we verify that…