Context

• Giba has introduced hybrid approach which use other notebooks result for better performance: https://www.kaggle.com/titericz/h-m-ensembling-how-to/notebook
• Altu has a new improved version with lstm model: https://www.kaggle.com/code/atulverma/h-m-ensembling-with-lstm

But you need to download other notebooks result, then upload it if you want to use within your notebook. So i create this dataset for anyone who want to use directly notebook result without download/upload. Please upvote if it help you

Content

This dataset contain 5 results as input using for a hybrid approach in this notebook:

• https://www.kaggle.com/titericz/h-m-ensembling-how-to/notebook.
• https://www.kaggle.com/code/atulverma/h-m-ensembling-with-lstm

If you want to use this notebook but can't access to private dataset, please add my dataset to your notebook, than change file path. It has 5 files:

• submissio_byfone_chris.csv: Submission result from: https://www.kaggle.com/lichtlab/0-0226-byfone-chris-combination-approach\
• submission_exponential_decay.csv: Submission result from: https://www.kaggle.com/tarique7/hnm-exponential-decay-with-alternate-items/notebook
• submission_trending.csv: Submission result from: https://www.kaggle.com/lunapandachan/h-m-trending-products-weekly-add-test/notebook
• submission_sequential_model.csv: Submission result from: https://www.kaggle.com/code/astrung/sequential-model-fixed-missing-last-item/notebook
• submission_sequential_with_item_feature.csv: Submission result from: https://www.kaggle.com/code/astrung/lstm-model-with-item-infor-fix-missing-last-item/notebook