A cruise company wants to know which factors influence an individual's interest to go for a cruise vacation. It conducted a survey of sixteen people chosen randomly. The survey asked the participants about their annual income (in $000), age (in years), and whether they had ever been in a cruise (1 - Yes, 0 - No). A logistic regression was developed to predict Cruise with Income and Age. The model generated the probability of belonging to the positive class (Class 1)based on the individual's income and age. ________________________________________________________________________ Using 0.7 as the cutoff probability, calculate the following: Sensitivity, Specificity, Precision, F1 Score.Round your answers to two decimal places.For example,0.571should be written as 0.57and 0.578as 0.58.

Survey Data Person Income Age Cruise 1 93 60 1 Regression Coefficients 87 61 3 67 85 Predictor Estimate 4 86 75 Intercept -14.14 5 81 55 O Income 0.02 60 73 Age 0.20 75 63 8 62 47 O 90 61 10 56 70 O 11 60 45 O 12 69 20 13 65 27 14 60 40 O 15 55 37 O 16 40 65