Data Preprocessing: Training and Testing
Learn how we can separate the data into a training set and a testing set, and how to use the testing set to validate the performance.
We'll cover the following...
Training and testing
We’ve talked about the goal of building an algorithm that performs well on data it already knows and predicts the labels of yet unknown data. This is what makes it essential to separate the data into a training and a testing set. We use the training set to build our algorithm, and we use ...