Report

[manuelelucchi]

Evaluation

• Correctness of the general methodological approach.
• Reproducibility of the experiments.
• Correctness of the approach used for choosing the hyperparameters.
• Scalability of the proposed solution.
• Clarity of exposition.

Requests

• Parts of the dataset which have been considered.
• Data organization.
• Applied pre-processing techniques.
• Considered algorithms and their implementations.
• How the proposed solution scales up with data size.
• Description of the experiments.
• Comment on the experimental results.

The report must also contain the following declaration: “I/We declare that this material, which I/We now submit for assessment, is entirely my/our own work and has not been taken from the work of others, save and to the extent that such work has been cited and acknowledged within the text of my/our work. I/We understand that plagiarism, collusion, and copying are grave and serious offences in the university and accept the penalties that would be imposed should I engage in plagiarism, collusion or copying. This assignment, or any part of it, has not been previously submitted by me/us or any other person for assessment on this or any other course of study.“

If the proposed solution is based on the ones published in Kaggle, this must be clearly stated, and the report should explain the differences and compare the experimental results.