# NPTEL Data Analytics With Python Assignment 9 Answers 2022

NPTEL Data Analytics With Python Assignment 9 Answers 2022:- All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

## What is Data Analytics with Python?

Data Analytics with Python is a fun-filled whirlwind tour of 30 hrs, covering everything you need to know to fall in love with the most sought-after skill of the 21st century. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their careers and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course

## CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

## NPTEL Data Analytics with Python Assignment 9 Answers 2022:-

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

• Sensitivity in ROC analysis is called True Positive Rate(tpr)
• Specificity in ROC analysis is not called True Negative Rate (tnr)
• Specificity in ROC analysis is called True Positive Rate(tpr)
• Sensitivity in ROC analysis is called True Negative Rate (tnr)

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

• Specificity decreases
• Sensitivity decreases
• Both a. and b.
• None of these

Q4. Sensitivity in ROC analysis is defined as:

• FP / (FP+TN)
• FN/(TP+FN)
• TN / (TN+FP)
• TP / (TP+FN)

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

• Low TPR and Low FPR
• Low TPR and High FPR
• High TPR and Low FPR
• High TPR and High FPR

Q6. For the given confusion matrix, compute the sensitivity

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

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

Q9. Which of the following option is true?

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Q10. In binary logistic regression,