Regression Model Assessment

In machine learning, we create different models (supervised learning models, unsupervised learning, recommenders, etc.). We define a dataset, choose an algorithm with parameters, and train the algorithms. After this, the trained model is ready to make predictions. Now the question is how we make sure that our model is good. What are the different ways to assess a model’s performance? In this lesson, we will learn about the standard techniques for model assessment.