4  Your task

Your task is to improve upon the simple model we have built. You can do this by:

1. Feature Engineering: Create additional features that you think might help to distinguish between different transportation modes. For example, you could consider turning angles, stop durations or extending observation windows
2. Model Selection: Experiment with different models (e.g., random forests, gradient boosting, neural networks) and hyperparameters to improve the predictive performance.
3. Per point prediction: Instead of predicting the transportation mode on a per segment basis, try to predict the transportation mode for each point. This is a more challenging task but can provide more detailed insights into the movement behavior.

Using one or more of these approaches, predict the transportation mode for the validation dataset. Next week, we will evaluate the performance of your models and award the best performing team with a standing ovation.