Insightforge | AI & Data Science on Instagram: "Overfitting occurs when a model memorizes the training data too precisely, including its noise and randomness, instead of learning the general underlying pattern. Imagine fitting curves to data points that roughly follow a parabolic shape. A linear model is too basic. Since it can’t capture the curve, it underfits, resulting in high error on both training and test data. A quadratic model reflects the true structure of the data, producing low traini

Avoid Overfitting: A Practical Guide to CS7641 Machine Learning