Due: Apr. 17

Suppose that we have a data set with the following random variables for people.

Suppose that you are trying to carry out classification learning where M is the classification attribute and the rest are predictive attributes. You are given the following data set:Random Variables:M: Did the two individuals ever meet, and what was the outcome?

Three possible values: 1=met and liked; 2=met and disliked; 3=never met.

C: Did the two individuals correspond?

Values: T or F.

R: Did the two publish reviews/criticisms of one another's work?

Values: 1=positive reviews; 2=negative reviews; 3=no reviews.

A: How close were the people in age?

Values: 1=less than 10 years apart; 2=at least 10 years apart.

D: How near one another did the people live?

Values: 1=same country; 2=different countries.

ID | A | D | C | R | M | Number of instances |
---|---|---|---|---|---|---|

1. | 1 | 2 | T | 1 | 2 | 8 |

2. | 1 | 2 | T | 1 | 3 | 4 |

3. | 1 | 2 | T | 3 | 2 | 4 |

4. | 1 | 2 | F | 2 | 1 | 2 |

5. | 1 | 2 | F | 3 | 3 | 2 |

6. | 2 | 1 | T | 1 | 1 | 3 |

7. | 2 | 1 | T | 1 | 2 | 1 |

8. | 2 | 1 | T | 1 | 3 | 3 |

9. | 2 | 2 | T | 1 | 1 | 12 |

10. | 2 | 2 | T | 2 | 3 | 6 |

11. | 2 | 2 | T | 3 | 1 | 8 |

12. | 2 | 2 | T | 3 | 3 | 25 |

13. | 2 | 2 | F | 1 | 2 | 6 |

14. | 2 | 2 | F | 1 | 3 | 10 |

15. | 2 | 2 | F | 2 | 2 | 6 |