Question: explain this The original dataset demonstrated significant class imbalance (167 healthy vs 416) diseased patients) and sex imbalance (142 females vs 441 males). Similarly to

explain this The original dataset demonstrated significant class imbalance (167 healthy vs 416) diseased patients) and sex imbalance (142 females vs 441 males). Similarly to existing models, we implement the imblearn SMOTE() package to address these imbalances; oversampling both the minority class and under-represented females. The sex-unbalanced dataset is retained to compare the impact of female representation in the training data on sex disparities in performance

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