Day 6

A developer is competing in a Kaggle college project by training ML models on a dataset exceeding 100K entries. Using F1 Macro for evaluation, XGBoost scored 0.70, while LGBM reached 0.73, though leaderboard results were 0.67. CatBoost is currently being tested. Separately, a team created a private day planner for Shruthi for the Hacktoberfest Weekend Challenge. The laptop-based app avoids APIs and servers, featuring a morning planning schedule and a night reflection tab.