@@ -4,7 +4,7 @@ The code of team unirec for task1 of Amazon KDD cup 2023.
In the last few days, we merged our features and fine-tuned XGBoost. Our best result was obtained by ensembling three XGBoost models with different features and parameters using average score.
Here are the links of LYX's and CXL's part: [LYX's part](https://gitlab.aicrowd.com/Fire/kddcup2023)(Fire in AIcrowd) and [CXL's part](https://gitlab.aicrowd.com/CXL/Amazon-KDDCUP-23)(CXL in AIcrowd)
Here are the links of LYX's and CXL's part: [LYX's part](https://gitlab.aicrowd.com/Fire/kddcup2023)(Fire in AIcrowd) and [CXL's part](https://github.com/Xiuchen519/Amazon-KDDCUP-23)(CXL in AIcrowd)
