What do you understand by statistical power of sensitivity and how do you calculate it

Question

For machine learning domain What is meant by statistical power of sensitivity and how do you calculate it?

Answer 1

Sensitivity is commonly used to validate the accuracy of a classifier (Logistic, SVM, Random Forest etc.).

Sensitivity is nothing but “Predicted True events/ Total events”. True events here are the events which were true and model also predicted them as true.

Calculation of seasonality is pretty straight forward.

Seasonality = ( True Positives ) / ( Positives in Actual Dependent Variable )

where true positives are positive events which are correctly classified as positives.