Machine Learning, Python, Data Science, Artificial Intelligence, Deep Learning.
ranges from 0 to 1, with a higher value indicating a better fit. Pros : 1. R-squared provides a measure of how well the model fits the data, allowing for easy comparison between models. 2. It gives a value between 0 and 1, with 1 indicating a perfect fit, which makes it easily interpretable. Cons :