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by edraferi
2724 days ago
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Label more training data. Do more clustering. Label more training data. Strip out more garbage. Label more training data. PS you can get an idea of how much value additional training data will give you by training models on various subsets of your dataset (e.g. 10%, 20%...), evaluating them against the same test dataset, and plotting the results. |
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