Underfitting

Underfitting - Underfitting occurs when a model is too simple to capture underlying market patterns, resulting in poor fit on both training and new data. It’s the opposite of overfitting in the bias-variance spectrum, and a model must be made more complex or provided more relevant features to resolve it.