Linear Regression MCQ
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 |
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?