Artificial Intelligence, Machine Learning, Random Forest, Finance, Trading.
penalises larger errors more than MAE, making it sensitive to outliers. A lower MSE indicates better model performance. Similar to MAE, the Training MSE is much lower than the Testing MSE, indicating better performance on the training data. R-squared (R²): Training R²: 0.9998 Testing R²: 0.9987 R²