You can identify if your machine learning model is overfitting or underfitting by evaluating its performance on a separate dataset called a validation set. If the model performs well on the training data but poorly on the validation set, it is likely overfitting. On the other hand, if the model performs poorly on both the training data and validation set, it is likely underfitting.