Question

L. Ghemri Exercise 1: Determine if the task given below is a machine learning task and if it is Descriptive or Predictive 1. 2. 3. Finding the customers of a company based on their gender Finding if person will live past the age of 100 Sorting a student database based in student ID 4. Finding the topic of a collection of aricles 5. Determining if an applicant will default on a loan 6. Predicting if an earthquake will strike next year 7. Predicting the outcomes of tossing a (fair) pair of dices. Exercise 2: Classify the following attributes as binary, discrete or continuous. Also classify them as categorical (nominal or ordinal) or quantitative (numeric). Some cases may have more than one classification or interpretation. Example: Age in years. Answer: Discrete, quantitative. a) Brightness as measured by a light meter b) Brightness as measured by people judgments. c) Angles as measured in degrees between 0 and 360. d) Bronze, Silver and Gold medals awarded at the Olympics. e) Height above sea level. f) Number of patients in a hospital. g) Military rank

Answer 1

Exercise1 answers:

1. Descriptive

2. NO

3. Descriptive

4. Descriptive

5. NO

6. Predictive

7. NO

Exercise2 answers:

a) Discrete, quantitative

b) continuous

c) discrete, quantitative

d) Discrete , ordinal

e) continuous

f) Discrete, quantitative

g) Discrete, ordinal