## Which function will be used for making predictions from the results of various model fitting functions?

1.Create a histogram by filling the bar with ‘blue’ colour. 2. What is a bar chart? Describe the types of bar charts. 3. Create a horizontal bar chart. 4. Differentiate between a group and stacked bar chart. 5. Create and place a legend in bar chart. 6. What will be the response variable in the given equation?

y = ax + b

(a) a (b) b

(c) x (d) y

7. Which function will compute the correlation of x and y, considering x and y are vectors?

(a) cor() (b) var()

(c) cov() (d) dvar()

8. Which function will be used to create a model as per linear regression in R?

(a) lm() (b) pp()

(c) biglm() (d) glm()

9. Which function will be used for making predictions from the results of various model

fitting functions?

(a) compare() (b) contrasts()

(c) predict() (d) resid()

10. Residual is calculated as:

(a) Residual = y – y^ (b) Residual = y^ – y

(c) Residual = y ~ x (d) Residual = x ~ y

11. The ratio of normal residual to its standard deviation of residual is:

(a) Standardised residual (b) Studentised residual

(c) Residual (d) R-squared1. What is model fitting?

### Compute the information gain of the term “elections” according to Eq. 5.7.

Consider the term “elections” which is present in only 50 documents in a corpus of 1000 documents. Furthermore, assume that the corpus contains 100 documents belonging to the Politics category,….

### Predict the probabilities of categories Cat and Car of Test2 on the toy corpus example in Sect. 5.3.5.2. You can use the multinomial na¨ıve Bayes model with the same level of smoothing as used in the example in the book. Return normalized probabilities that sum to 1 over the two categories. 2.       Na¨ıve Bayes is a generative model in which each class corresponds to one mixture component. Design a fully supervised generalization of the nai¨ıve Bayes model in which each of the k classes contains exactly b > 1 mixture components for a total of b · k mixture components. How would you perform parameter estimation in this model?

1.       Predict the probabilities of categories Cat and Car of Test2 on the toy corpus example in Sect. 5.3.5.2. You can use the multinomial na¨ıve Bayes model with the same….

### What are the possible advantages and disadvantages of using such an approach?

1.       Na¨ıve Bayes is a generative model in which each class corresponds to one mixture component. Design a semi-supervised generalization of the nai¨ıve Bayes model in which each of the….