80. Describe how the Sensitivity of machine learning models can be calculated?
Sensitivity is used in machine learning to validate the accuracy of classifiers like Logistic, Random Forest, and SVM. It's also known as TPR or REC (recall) (true positive rate). The ratio of predicted real occurrences to total events is known as sensitivity. True Positives / Positives in the Actual Dependent Variable = Sensitivity
