This set of MCQ(multiple choice questions) will help you with the answers of Data Analytics with Python NPTEL Week 9 Assignment Solutions.
Course layout
Week 1: Basics of Python Spyder
Week 2 : Introduction to probability
Week 3 : Sampling and sampling distributions
Week 4 : Hypothesis testing
Week 5 : Two sample testing and introduction to ANOVA
Week 6 : Two way ANOVA and linear regression
Week 7 : Linear regression and multiple regression
Week 8 : Concepts of MLE and Logistic regression
Week 9 : ROC and Regression Analysis Model Building
Week 10 : c2 Test and introduction to cluster analysis
Week 11 : Clustering analysis
Week 12 : Classification and Regression Trees (CART)
NOTE: You can check your answer immediately by clicking show answer button. Moreover, this set of “Data Analytics with Python NPTEL Week 9 Assignment Solution” contains 10 questions.
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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
Answer:
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)
Answer:
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
Answer:
Q4. Sensitivity in ROC analysis is defined as:
a) FP / (FP+TN)
b) FN/(TP+FN)
c) TN / (TN+FP)
d) TP / (TP+FN)
Answer:
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
Answer:
Q6. For the given confusion matrix, compute the sensitivity
a) 0.73
b) 0.7
c) 0.78
d) 0.8
Answer:
Q7. State true or False: Precision is inversely proportional to sensitivity
a) True
b) False
Answer:
Q8. State True or False: Standardization of features is not required before training a Logistic regression model
a) True
b) False
Answer:
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
Answer:
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
Answer:
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