#AIImpactOnForex Model complexity* in machine learning refers to a model's capacity to capture patterns in data, determined by factors like the number of parameters, features, and the model's structure. While increased complexity can enable a model to learn intricate relationships, it also raises the risk of overfitting, where the model performs well on training data but poorly on unseen data.