Finance, Python, Deep Learning, Analytics, Artificial Intelligence.
performance on the test data. Our first step is to generate predictions on the test data using the trained model, which we stored in the variable y_pred. To assess the model’s performance, we imported several functions from the sklearn.metrics module, including mean_squared_error,