Artificial Intelligence, Machine Learning, Random Forest, Finance, Trading.
MAE is significantly lower than the Testing MAE, suggesting that the model performs better on the training data compared to the testing data. Mean Squared Error (MSE): Training MSE: 59806.09 Testing MSE: 402962.35 MSE measures the average squared errors between the predicted and actual values. It