Linear Regression MCQ

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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) = $\frac{1}{1+e^{-(\beta 0-\beta 1 x)}}$

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?