Artificial Intelligence, Machine Learning, Random Forest, Finance, Trading.
overfitting, where the model might be capturing noise in the training data that does not generalise well to the unseen testing data. The significant difference between the training and testing errors (both MAE and MSE) suggests that the model may be slightly overfitting the training data.