So far, we have learned about the learning curve and its significance. However, it only comes into the picture once we tried fitting a curve on the available data and features. But what does curve fitting mean? Let's try to understand this.
Curve fitting is nothing but establishing a relationship between a number of features and a target. It helps in finding out what kind of association the features have with respect to the target.
Establishing a relationship (curve fitting) is nothing but coming up with a mathematical function that should be able to explain the behavioral pattern in such a way that it comes across as a best fit for the dataset.
There are multiple reasons behind why we do curve fitting:
- To carry out system ...
