Leaderboard: https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/leaderboard
2nd
Solution: https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/458738
Code: https://github.com/Eliorkalfon/single_cell_pb
- 使用transformer
- target encoding
- kmeans改变分布,获得balanced distribution。或者说利用kmeans进行类别均衡
1st
Post: https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/459258
Code: https://github.com/Jean-KOUAGOU/1st-place-solution-single-cell-pbs
主要是2点:
feature augmentation
- 加入cell type text embedding
- 加入SMILES的 text embedding
- 老生常谈:target encode
- 仍然使用one hot
- 全部concate起来
ensamble learning
- 各个输入模型k-fold后加权平均
- 3中不同程度的输入feature,
- 寻找3种不同的model arch(最后取其中的1种)
- 加权平均(集成学习模型)