Artificial Intelligence, Machine Learning, Random Forest, Finance, Trading.
1) plt.scatter(y_train, y_train_pred, alpha=0.3) plt.xlabel("Actual Close Price (Train)") plt.ylabel("Predicted Close Price (Train)") plt.title("Actual vs. Predicted Close Price (Training Set)") plt.plot([y_train.min(), y_train.max()], [y_train.min(), y_train.max()], "r--") plt.subplot(1, 2, 2)