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      1 # Synthetic Minority Oversampling Technique (SMOTE)
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      3 ML P775
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      5 **Definition:** SMOTE is the process of manipulating minority samples in the dataset to increase their representation and improve a model's classification of them.
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      7 If you only have a few images of a specific type of flower maybe you augment them (rotate or something) to get 100s of instances so the model is trained on more instances of it and will subsequently be better at classifying them.