# Data Analytics with Python | NPTEL | Week 9 Assignment Solutions

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### Data Analytics with Python NPTEL Week 9 Assignment Solutions

Q1. State true or false:  Statement: there is no difference between,  y = β0 + β1x + 𝜖 and  E(y) = β0 + β1x , both are regression equations

a) True
b) False

Q2. Which of the following statements is correct

a) Sensitivity in ROC analysis is called True Positive Rate(tpr)
b) Specificity in ROC analysis is not called True Negative Rate (tnr)
c) Specificity in ROC analysis is called True Positive Rate(tpr)
d) Sensitivity in ROC analysis is called True Negative Rate (tnr)

Q3. In ROC analysis when the Threshold value is Higher:

a) Specificity decreases
b) Sensitivity decreases
c) Both a. and b.
d) None of these

Q4. Sensitivity in ROC analysis is defined as:

a) FP / (FP+TN)
b) FN/(TP+FN)
c) TN / (TN+FP)
d) TP / (TP+FN)

Data Analytics with Python NPTEL Week 9 Assignment Solutions

Q5. In ROC analysis, a classifier is called ‘good’ if it has ______

a) Low TPR and Low FPR
b) Low TPR and High FPR
c) High TPR and Low FPR
d) High TPR and High FPR

Q6. For the given confusion matrix, compute the sensitivity

a) 0.73
b) 0.7
c) 0.78
d) 0.8

Q7. State true or False: Precision is inversely proportional to sensitivity

a) True
b) False

Data Analytics with Python NPTEL Week 9 Assignment Solutions

Q8. State True or False: Standardization of features is not required before training a Logistic regression model

a) True
b) False

Q9. Which of the following option is true?

a) Linear Regression errors values have to be normally distributed but in the case of Logistic Regression it is not the case
b) Logistic Regression errors values have to be normally distributed but in the case of Linear Regression it is not the case
c) Both Linear Regression and Logistic Regression error values have to be normally distributed
d) Both Linear Regression and Logistic Regression error values have not to be normally distributed

Q10. In binary logistic regression,

a) The dependent variable is continuous
b) The dependent variable is divided into two equal subcategories
c) The dependent variable consists of two categories
d) There is no dependent variable

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