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The Instacart "Market Basket Analysis" competition was about predicting which products in the next order would be a product that user had already ordered before.

1st Place (F1 0.4091)

User didn't publish his strategy.

2nd Place (F1: 0.4082) (LINK)

Approach: Manual Feature Engineering + XGBoost (Python)

Note: Optimizes F1-score directly (see references)

3rd Place (F1: 0.4081) (LINK)

Approach: Feature Learning with Neural Networks, then classification using Tensorflow and LightGBM(Python)

4th Place (F1: 0.4074) (LINK)

Approach: Manual Feature Engineering + Catboost

Note: Optimizes F1-score directly (see references)

5th Place (F1: 0.4073)

User didn't publish his strategy.

6th Place (F1: 0.4072) (LINK)

Approach: Manual Feature Engineering + CatBoost

Note: Optimizes F1-score directly (see references)

References