This week, our team made significant strides in working on the FDR documents, a key project component. Collaboration has been a central focus, with everyone contributing their expertise to refine and enhance our team approach.

The Feature Engineering (FE) team played a pivotal role in testing and retraining the model by reintroducing previously eliminated features. This was an essential step in assessing the impact of those features on performance, allowing us to make informed decisions about which ones to reintegrate. The close collaboration between the FE and ML teams ensured that our choices were aligned and focused on achieving the best possible outcomes for the project.

On the Machine Learning (ML) side, the team successfully implemented an insight optuna-based weight voting system, which has already shown promising results in improving model accuracy. The ML team also dedicated time to refining the synthetic data, ensuring it was more realistic and practical for training, helping the model better generalize to various input data.

Looking ahead, the next week promises to be just as busy. The UI team will be preparing for usability testing, focusing on gathering user feedback to improve the overall experience. The FE team will continue their work, finishing up the reintroduction of some of the eliminated features based on performance evaluations. The ML team will help with further feature engineering and wrap up the optuna-based work, including writing full pipeline scripts for a smoother workflow.

We’re looking forward to continuing our progress, and we’ll have more updates for you soon.

Goodbye, and see you next week!