Overfitting, Underfitting, Bias Variance Tradeoff, Bias, Variance.
allowing it to capture intricate patterns in the data. However, as complexity increases, so does the model’s sensitivity to variations in the training data, resulting in high variance. Conversely, reducing variance typically involves simplifying the model, but this may lead to an underestimation of