# Data Science for Engineers | Week 7

**Session: JAN-APR 2024**

**Course Name: Data Science for Engineers**

**Course Link: Click Here**

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**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q1. Which among the following is not a type of cross-validation technique?**

LOOCV

k-fold croos validation

Validation set approach

Bias variance trade off

**Answer: d) Bias variance trade off**

**Q2. Which among the following is a classification problem?**

Predicting the average rainfall in a given month.

Predicting whether a patient is diagnosed with a disease or not.

Predicting the price of a house.

Predicting whether it will rain or not tomorrow.

**Answer: b, d**

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**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q3. Consider the following confusion matrix for the classication of Hatchback and SUV:Find the accuracy of the model.**

0.95

0.55

0.45

0.88

**Answer: a) 0.95**

**Q4. Find the sensitivity of the model.**

0.95

0.55

1

0.88

**Answer: c) 1**

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**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q5. Under the ‘family’ parameter of glm() function, which one of the following distributions correspond to logistic regression for a variable with binary output?**

Binomial

Gaussian

Gamma

Poisson

**Answer: a) Binomial**

**Use the following information to answer Q6, Q7, Q8, Q9, and Q10:Load the dataset iris.csv as a dataframe irisdata, with the first column as index headers, first row as column headers, dependent variable as factor variable, and answer the following questions.**

**Q6. The iris dataset contains four Sepal and Petal features (Sepal Length, Sepal Width, Petal Length, Petal Width, all in cm) of 50 equal samples of 3 different species of the iris flower (Setosa, Versicolor, and Virginica).What is the dimension of the dataframe?**

(150, 5)

(150, 4)

(50, 5)

None of the above

**Answer: a) (150, 5)**

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**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q7. What can you comment on the distribution of the independent variables in the dataframe?**

The variables Sepal Length and Sepal Width are not normally distributed

All the variables are normally distributed

The variable Petal Length alone is normally distributed

None of the above

**Answer: b) All the variables are normally distributed**

**Q8. How many rows in the dataset contain missing values?**

10

5

25

0

**Answer: d) 0**

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**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q9. Which of the following code blocks can be used to summarize the data (finding the mean of the columns PetalLength and PetalWidth), similar to the one given below.**

lapply(irisdata[, 3:4], mean)

sapply(irisdata[, 3:4], 2, mean)

apply(irisdata[, 3:4], 2, mean)

apply(irisdata[, 3:4], 1, mean)

**Answer: a), c)**

**Q10. What can be interpreted from the plot shown below?**

Sepal widths of Versicolor flowers are lesser than 3 cm.

Sepal lengths of Setosa flowers are lesser than 6 cm.

Sepal lengths of Virginica flowers are greater than 6 cm.

Sepals of Setosa flowers are relatively more wider than Versicolor flowers.

**Answer: b), d)**

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**These are NPTEL Data Science for Engineers Assignment 7 Answers**

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**Session: JULY-DEC 2023**

**Course Name: Data Science for Engineers**

**Course Link: Click Here**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q1. Which among the following is not a type of cross-validation technique?**

LOOCV

k-fold croos validation

Validation set approach

Bias variance trade off

**Answer: Bias variance trade off**

**Q2. Which among the following is a classification problem?**

Predicting the average rainfall in a given month.

Predicting whether a patient is diagnosed with a disease or not.

Predicting the price of a house.

Predicting whether it will rain or not tomorrow.

**Answer: Predicting whether a patient is diagnosed with a disease or not.Predicting whether it will rain or not tomorrow.**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q3. Find the accuracy of the model.**

0.95

0.55

0.45

0.88

**Answer: 0.95**

**Q4. Find the sensitivity of the model.**

0.95

0.55

1

0.88

**Answer: 1**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q5. Under the ‘family’ parameter of glm() function, which one of the following distributions correspond to logistic regression for a variable with binary output?**

Binomial

Gaussian

Gamma

Poisson

**Answer: Binomial**

**Use the following information to answer Q6 – Q10:Load the dataset iris.csv as a dataframe irisdata, with the first column as index headers, first row as column headers, dependent variable as factor variable, and answer the following questions.The iris dataset contains four Sepal and Petal features (Sepal Length, Sepal Width, Petal Length, Petal Width, all in cm) of 50 equal samples of 3 different species of the iris flower (Setosa, Versicolor, and Virginica).**

**Q6. What is the dimension of the dataframe?**

(150, 5)

(150, 4)

(50, 5)

None of the above

**Answer: (150, 5)**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q7. What can you comment on the distribution of the independent variables in the dataframe?**

The variables Sepal Length and Sepal Width are not normally distributed

All the variables are normally distributed

The variable Petal Length alone is normally distributed

None of the above

**Answer: All the variables are normally distributed**

**Q8. How many rows in the dataset contain missing values?**

10

5

25

0

**Answer: 0**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q9. Which of the following code blocks can be used to summarize the data (finding the mean of the columns PetalLength and PetalWidth), similar to the one given below.**

lapply(irisdata[, 3:4], mean)

sapply(irisdata[, 3:4], 2, mean)

apply(irisdata[, 3:4], 2, mean)

apply(irisdata[, 3:4], 1, mean)

**Answer: lapply(irisdata[, 3:4], mean)apply(irisdata[, 3:4], 2, mean)**

**Q10. What can be interpreted from the plot shown below?**

Sepal widths of Versicolor flowers are lesser than 3 cm.

Sepal lengths of Setosa flowers are lesser than 6 cm.

Sepal lengths of Virginica flowers are greater than 6 cm.

Sepals of Setosa flowers are relatively more wider than Versicolor flowers.

**Answer: C, D**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

More Solutions of Data Science for Engineers: Click Here

More Nptel Courses: Click here

**Course Name: Data Science for Engineers**

**Course Link: Click Here**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q1. Which among the following is not a type of cross-validation technique?**

a. LOOCV

b. k-fold croos validation

c. Validation set approach

d. Bias variance trade off

**Answer: d. Bias variance trade off**

**Q2. Which among the following is a classification problem?**

a. Predicting the average rainfall in a given month.

b. Predicting whether a patient is diagnosed with a disease or not.

c. Predicting the price of a house.

d. Predicting whether it will rain or not tomorrow.

**Answer: b, c**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Consider the following confusion matrix for the classication of Hatchback and SUV:**

**Q3. Find the accuracy of the model.**

a. 0.95

b. 0.55

c. 0.45

d. 0.88

**Answer: a. 0.95**

**Q4. Find the sensitivity of the model.**

a. 0.95

b. 0.55

c. 1

d. 0.88

**Answer: c. 1**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q5. Under the ‘family’ parameter of glm() function, which one of the following distributions correspond to logistic regression for a variable with binary output?**

a. Binomial

b. Gaussian

c. Gamma

d. Poisson

**Answer: a. Binomial**

**Use the following information to answer Q6, Q7, Q8, Q9, and Q10:Load the dataset iris.csv as a dataframe irisdata, with the first column as index headers, first row as column headers, dependent variable as factor variable, and answer the following questions.The iris dataset contains four Sepal and Petal features (Sepal Length, Sepal Width, Petal Length, Petal Width, all in cm) of 50 equal samples of 3 different species of the iris flower (Setosa, Versicolor, and Virginica).**

**Q6. What is the dimension of the dataframe?**

a. (150, 5)

b. (150, 4)

c. (50, 5)

d. None of the above

**Answer: a. (150, 5)**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q7. What can you comment on the distribution of the independent variables in the dataframe?**

a. The variables Sepal Length and Sepal Width are not normally distributed

b. All the variables are normally distributed

c. The variable Petal Length alone is normally distributed

d. None of the above

**Answer: a. The variables Sepal Length and Sepal Width are not normally distributed**

**Q8. How many rows in the dataset contain missing values?**

a. 10

b. 5

c. 25

d. 0

**Answer: d. 0**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

**Q9. Which of the following code blocks can be used to summarize the data (finding the mean of the columns PetalLength and PetalWidth), similar to the one given below.**

a. lapply(irisdata[, 3:4], mean)

b. sapply(irisdata[, 3:4], 2, mean)

c. apply(irisdata[, 3:4], 2, mean)

d. apply(irisdata[, 3:4], 1, mean)

**Answer: c. apply(irisdata[, 3:4], 2, mean)**

**Q10. What can be interpreted from the plot shown below?**

a. Sepal widths of Versicolor flowers are lesser than 3 cm.

b. Sepal lengths of Setosa flowers are lesser than 6 cm.

c. Sepal lengths of Virginica flowers are greater than 6 cm.

d. Sepals of Setosa flowers are relatively more wider than Versicolor flowers

**Answer: a, d**

**These are NPTEL Data Science for Engineers Assignment 7 Answers**

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