## NPTEL Data Science For Engineers Week 7 Assignment Answers 2024

1. 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

2. 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.

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3. Find the accuracy of the model.

- 0.95
- 0.55
- 0.45
- 0.88

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4. Find the sensitivity of the model.

- 0.95
- 0.55
- 1
- 0.88

Answer :- c

5. 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 :-

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).

6. What is the dimension of the dataframe?

- (150, 5)
- (150, 4)
- (50, 5)
- None of the above

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7. 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 :-

8. How many rows in the dataset contain missing values?

- 10
- 5
- 25
- 0

Answer :-

9. 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 :-

10. 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.

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