Polynomial Regression vs Neural Network: Interpretability
Polynomial Regression provides straightforward interpretation due to its linear nature. It’s easier to understand the impact of each feature on the target variable. Neural Networks, however, are often considered black-box models, making it challenging to interpret the learned parameters.
Polynomial Regression vs Neural Network
In this article, we are going to compare polynomial regression and neural networks.