🕵️ Introduction

You will now be able test your algorithm on larger datasets! Instead of using randomly generated data, you will now use two csv files containing real data. However, these datasets are larger than what you used for the handouts, and you may have to adapt your code to make it scale with the number of cities! 

You will be judged on two datasets, pay attention to the fact that the score is computed with a different parameter λ in each case. Don't forget to submit your results for both challenges!

Good luck!

💾 Datasets

For this challenge, you need to load a csv file to process the cities.

For the first part of the challenge: (small dataset) dataset_small_challenge.csv 

For this first challenge, you will have to set  λ=1.0

For the second part of the challenge: (large dataset) dataset_large_challenge.csv

For this second challenge, you will have to set  λ=1.25

🚀 Submission

You can attempt as many submissions as you want. Don't forget to team-up as choosen in class! 

You need to provide a dataset where you specify which cities are included in your result or not:

Example for the small dataset : result_dataset_small_challenge.csv

Example for the large dataset : result_dataset_large_challenge.csv

🖊 Evaluation Criteria

The score is evaluated based on the two results, but the large dataset will mainly be taken into account to assess the winner!