We have some kind of dataset.
For example, with characteristics of phones, the name and the price.
When and for what use SMOTE or ADASYN?
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1 answer
These are methods that are used to solve classification problems in the case of an unbalanced sample. It is precisely for introducing artificial, additional points to reduce the imbalance, in other words, to increase the number of points of the less powerful class.
To understand whether your sample is balanced or unbalanced according to the ONLY example - it seems to me to even ask such a question is somewhat strange. Accordingly, it is impossible to make a decision on the reasonableness of applying these methods.
passant passant
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- Thank you. In this case, the goal was just to find out what they were using . The data set is not needed here at all - potemin
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