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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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