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NPTEL Data Science for Engineers Assignment 7 Answers (Week 7)
Q1. Which of the following algorithms is/are suitable for the below problem statement?
Problem Statement: To classify the severity of the infection on covid-19 patients as critical/ not critical based on their comorbidity, habits, and some other demographics data.
a. Linear Regression
b. Logistics Regression
c. K-Means
d. Decision tree
Answer: a. Linear Regression
b. Logistics Regression
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Q2. Which parameter determines the goodness of fit of a Logistic Regression model?
a. Sensitivity
b. Adjusted R-squared
c. RMSE
d. Accuracy
Answer: b. Adjusted R-squared
d. Accuracy
Q3. Which of the following functions is used to bind the probability of x between 0 and 1?
a. Log function
b. Sigmoid function
c. Sine
d. Cosine
Answer: b. Sigmoid function
Q4. Which of the following strategies do we apply to obtain the best fit line for data in Linear Regression?
a. Logarithmic loss
b. Maximum likelihood
c. Least square error
d. Both B and C
Answer: c. Least square error
Refer to the confusion matrix mentioned below for answering question 5. The matrix results from a classification model applied to test the working condition of parts of a refrigerator based on some parameters.
| True | Predicted | Predicted |
|---|---|---|
| Negative | Positive | |
| Negative | 607 | 115 |
| Positive | 398 | 713 |
Q5. What is the value of specificity?
a. 0.861
b. 0.841
c. 0.642
d. 0.159
Answer: b. 0.841
| Variables | Description |
| Price | Price of the Car (in $) |
| Age | Age of the car (in years) |
| KM | Total distance travelled |
| CC | Engine Size (in cm³) |
Q6. The R-Squared for the built linear model is ___
a. 0.7516
b. 0.6317
c. 0.8111
d. 0.8107
Answer: a. 0.7516
Q7. According to the built model, which variable has no contribution to the model?
a. Age
b. KM
c. CC
d. None of the above
Answer: c. CC
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