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 labels, positive and negative. Positive outputs are labels with a particular characteristic that we are interested in. All the other labels are negative.…
What is a validation metric? A validation metric is a metric 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 of building an efficient model 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…