Logistic and linear both are regression algorithms. Which of the following are/is the reason(s) for not using linear regression as a classification algorithm?
What is the sensitivity of the following model? Actual/Predicted Not Churn Churn Not Churn 400 100 Churn 50 150
What is the number of False Positives for the model given below? Actual/Predicted Not Churn Churn Not Churn 400 100 Churn 50 150
Given the following confusion matrix calculate the accuracy of the model. Matrix Actual/Predicted Nos Yeses Nos 1000 50 Yeses 250 1200
For the sigmoid curve ( β0=-15 and β1 =0.065) what will be the probability of diabetes for a patient with sugar level 240?
This is the Sigmoid Curve Equation: y = p ( d i a b e t e s ) = 1 1 + e−(β0+β1x) Problem: This is the sigmoid curve equation: y = p ( d i a b e t e s ) = 1 1 + e − ( β 0 + β 1 x ) y = P (Diabetes) = Here, let’s say you take β0 = -15 and β1 = 0.065. Now, what will be the probability of diabetes for a patient with sugar level 220?
