Imbalance treatment techniques in machine learning

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A classification data set with skewed class proportions is called imbalanced. Classes that make up a large proportion of the data set are called majority classes , Those that make up a smaller proportion are minority classes . (where one class is much more abundant than the other ).

Dataset from kaggle was used to work on it and clarify the problem further Personal Key Indicators of Heart Disease

Details in Presentation Presentation .
⚠️ We recommend taking a look to understand the imbalance in the data .

🔗 Imbalance treatment techniques in machine learning on kaggle

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