"Predicted" and "Actual" labels on the final chart are inversed

In train_predict.py there is a mix up with labels. What should be "Actual" is shown as "Predicted" and vice versa:

```python
        # Plot graph: predicted VS actual
        plt.subplot(111)
        plt.plot(predicted_raw, label='Actual')
        plt.plot(y_test_raw, label='Predicted')
        plt.legend()
        plt.show()
```