Stock Market, Trading, Forecasting, Machine Learning, Sklearn.
y_train) Step 6: Evaluating the Model Finally, we will evaluate the performance of our model using the testing data. We will use the mean_squared_error function from sklearn to calculate the mean squared error of our predictions. from sklearn.metrics import mean_squared_error y_pred =