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.