. There are plenty of explanations why a dataset could be imbalanced. For instance, the classification you're targeting may very well be scarce inside the population, or the data may very well be tricky to collect. Usually, you employ SMOTE when the class

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SMOTE takes all the dataset being an enter, nevertheless it increases The share of only the minority cases. As an example, suppose you may have an imbalanced dataset exactly where just 1 per cent with the cases contain the concentrate on value A (the minority course), and 99 % with the cases have the worth B.

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