1.Create a dataset that contains the features of apples. Now find out the “entropy” and
“information gain” for this dataset. Also, find out the best feature of the apple dataset. 2. Which one of the following commands is used for visualisation in time series analysis?
(a) diff() (b) sd()
(c) plot() (d) means()
3. Which one of the following commands is used for manipulation in time series analysis?
(a) plot() (b) pnorm()
(c) qqnorm() (d) hist()
4. Which one of the following commands is different from others?
(a) qnorm() (b) pnorm()
(c) qqnorm() (d) log()
5. Which one of the following commands stores the time series object?
(a) as.ts() (b) is.ts()
(c) ts() (d) scan()
6. Which one of the following commands reads the time series object?
(a) plot() (b) is.ts()
(c) ts() (d) scan()
7. Which one of the following commands plots the time series object?
(a) as.ts() (b) plot()
(c) ts() (d) scan()
8. Which one of the following commands implements linear filtering?
(a) ts() (b) decompose()
(c) filter() (d) scan()
9. Which one of the following commands decomposes non-seasonal time series?
(a) seas() (b) stl()
(c) decompose() (d) SMA()
