Model evaluation (step 4)

In this video, you are going to be introduced to the fourth and final step of the standard process for building machine learning models: Model evaluation. When evaluating a model, we generally focus on determining its predictive ability. This means we want to measure its ability to make correct predictions in new situations. To evaluate a prediction model, we have to examine its performance when applied to new situations because that’s what gives us a sense of how it will perform in the real world. We can evaluate a model in different ways. Here we will evaluate our model using the scikit-learn library.