Overfitting and Underfitting in Machine Learning

In this article, we are going to indulge in two of the most discussed about and important concepts in machine learning which is related to the performance of a model.

How do we know a model is performing better? Which model should we choose?

Generally, we try out different models on the training dataset and based on few of the below points, we could have an idea which model to choose:

· Low delta value: Delta value is the difference between the accuracy of the model when applied on train and test…