Problem 1 Mysterious Mail (25 Points) In your mail, you have received a large ta

Question

Problem 1 Mysterious Mail (25 Points) In your mail, you have received a large table shown below that has some unknown attribute values indicated by". All other attribute values in the table are known. You also know that the number of unknown fields in the table is only a tiny fraction of that of the whole table (e.g. less than 1%). T number of rows. he figure below only shows a few rows for illustration; there are a large (a) After a few weeks into the COMP 5440/4210 Data Mining, you decide to tackle this problem. You want to make an educated guess of all the unknown attribute values. It looks that column cl is of numeric type, c2 is of nominal type, c3 is of ordinal type, and so on they cover all the types we have learned. Using what we have learned so far this semester in the Data Mining course, describe your strategy. In particular, a "?" value could be of numeric type, or nominal type, or ordinal type. Discuss what you do to infer their values. I particular, how do you use the decision tree model to solve it? Alternatively, how would you use the naïve Bayes model to solve it (b) There is always an option to figure out who have sent you this mail and pay a large sum of money to acquire the unknown "?" values. You do not want to do so unless you are rather unsure about your educated guess in (a). All you have is this mail and this table. How deo you evaluate how good your guessed values in (a) are? (c) After looking at it hard enough, you see that two columns c4 and c5 are highly correlated (either positively or negatively). Column c4 has 3 possible values and c5 has 3 possible values too. Knowing this fact, would you need to change the decision tree model you use for (a)? Would you need to change the naïve Bayes model you use for (a)? Any change yo make should make them more accurate.

Explanation / Answer

import javax.swing.*;
import java.awt.*;
public class AlgorithmViewer {
public static void main(String[] args){
  AlgorithmViewer av=new AlgorithmViewer();
}
public void Gui(){
  JFrame frame=new JFrame();
  JPanel panel=new JPanel();
  JPanel panel2=new JPanel();
  frame.setSize(800,800);
  frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
  final SelectionSortComponent component=new SelectionSortComponent();
  final BubbleSortComponent component2=new BubbleSortComponent();
  frame.add(panel);
  frame.add(panel2);
  panel.add(component);
  panel2.add(component2);
  frame.setVisible(true);
  component.animation();
  component2.animation();
}
public AlgorithmViewer(){
  Gui();
}
}

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