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I'd recommend this paper as it touches on the problem you describe and presents two other diagnostic plots which aim at addressing it. PRC ends up being the most informative one in the end anyway. 🙂 https://www.researchgate.net/publication/273155496_The_Precision-Recall_Plot_Is_More_Informative_than_the_ROC_Plot_When_Evaluating_Binary_Classifiers_on_Imbalanced_Datasets
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Hello, im working on project with high imbalanced data ( fraud predection) based on the client courses ( texts and values) can you advise me to do it well ? Thanks
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ᴍua hᴀ̀ɴɢ, bᴀ́n ʜᴀ̀nɢ ᴍᴀ̀ k ʙiếᴛ nhóᴍ này tʜɪ̀ cᴏɪ ɴhư ᴄhưa ᴍᴜa, ʙán hᴀ̀ɴɢ ᴛrên ꜰacebook, ɴhóᴍ này nᴇ̀ Chợ Sale
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https://www.i2tutorials.com/check-if-a-given-key-already-exists-in-a-dictionary/
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UMAP and t-SNE are both pretty good but they tend to introduce distortions. This blogpost goes over the weaknesses of t-SNE (most of which UMAP inherits): https://distill.pub/2016/misread-tsne/
If you have noisy data, I recommend PHATE which preserves both local and global structure: https://github.com/KrishnaswamyLab/PHATE
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Toàn thấy bọn chị mua ở đây nhỉ, em thì chỉ mua ở Chợ Sale , vì giá rẻ hơn, tương tác đông lắm
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https://www.i2tutorials.com/list-of-lists-changes-reflected-across-sublists-unexpectedly-in-python/
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https://www.i2tutorials.com/how-to-check-if-a-list-is-empty-in-python/
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https://www.i2tutorials.com/how-do-i-concatenate-two-lists-in-python/
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De verdad que contenido tan útil el tuyo, es maravilloso. Por acá estoy revisando el contenido que tienes sobre reglas de asociación, sencillamente genial y claro. Muchas gracias por tus aportes Rocio.
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https://www.i2tutorials.com/how-to-make-a-flat-list-out-of-a-list-of-lists-in-python-part-2/
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https://www.i2tutorials.com/how-to-make-a-flat-list-out-of-a-list-of-lists-in-python-part-1/
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https://www.i2tutorials.com/what-is-the-difference-between-pythons-list-methods-append-and-extend/
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str-and-repr-in-python/ https://www.i2tutorials.com/what-is-the-difference-between-