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Main.java
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Main.java
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import java.io.File;
import java.io.FileNotFoundException;
import java.util.ArrayList;
import java.util.Scanner;
class Main {
public static void main(String[] args) {
String fileName;
//fileName = "testData.csv";
fileName = "testData2.csv";
String[][] data = readCSV(fileName);
Node decisionTree = makeDecisionTree(data);
//print(data);
decisionTree.printTree();
play(fileName);
}
public static void print(String[][] data){
int[] lens = new int[data[0].length];
int current = 0;
for(int c = 0; c < data[0].length; c++){
for(int r = 0; r < data.length; r++){
if(data[r][c].length() > current){
current = data[r][c].length();
}
}
lens[c] = current;
current = 0;
}
for(int i = 0; i < data.length; i ++){
for(int j = 0; j < data[0].length; j++){
System.out.print(data[i][j]);
for(int k = 0; k < lens[j] - data[i][j].length() + 2; k++){
System.out.print(" ");
}
}
System.out.println();
}
}
public static String[][] readCSV(String fileName) {
try {
int numRows = 0;
Scanner s = new Scanner(new File(fileName));
while (s.hasNextLine()) {
s.nextLine();
numRows++;
}
String[][] data = new String[numRows][];
s = new Scanner(new File(fileName));
String[] currentRow;
for(int i = 0; i < numRows; i++){
currentRow = s.nextLine().split(",", 0);
data[i] = currentRow;
}
s.close();
return data;
}
catch (FileNotFoundException e) {
System.out.println("broken");
return null;
}
}
public static String[][] removeHeader(String[][] data){
String[][] ret = new String[data.length - 1][data[0].length];
for(int i = 0; i < data.length - 1; i++){
for(int j = 0; j < data[0].length; j++){
ret[i][j] = data[i+1][j];
}
}
return ret;
}
public static String[][] filterOption(String[][] data, int colNum, String option){
String[] firstRow = data[0];
int index = colNum;
int count = 0;
for(int i = 0; i < data.length; i++){
if(data[i][index].equals(option)){
count++;
}
}
String[][] ret = new String[count + 1][data[0].length];
ret[0] = firstRow;
int idk = 1;
for(int i = 1; i < data.length; i++){
if(data[i][index].equals(option)){
for(int j = 0; j < data[0].length; j++){
ret[idk][j] = data[i][j];
}
idk++;
}
}
return ret;
}
public static double entropy(String[][] data){
if(data.length <= 2){
return 0;
}
int numRows = data.length - 1;
int numColumns = data[0].length;
double numYes = 0.0;
for(int i = 0; i < data.length; i++){
if((data[i][numColumns - 1].equals("Yes")) || (data[i][numColumns - 1].equals("Y")) || (data[i][numColumns - 1].equals("y")) || (data[i][numColumns - 1].equals("1")) || (data[i][numColumns - 1].equals("YES")) || (data[i][numColumns - 1].equals("yes"))){
numYes++;
}
}
double pYes = numYes/numRows;
double pNo = 1 - pYes;
double entropy = (-pYes * (Math.log(pYes)/Math.log(2)) - pNo * (Math.log(pNo)/Math.log(2)));
if(Double.isNaN(entropy)){
return 0;
}
return entropy;
}
public static double infoGain(String[][] data, String category){
String[] options = getOptions(data, category);
double[] entropys = new double[options.length];
int categoryIndex = 0;
for(int i = 0; i < data[0].length; i++){
if(data[0][i].equals(category)){
categoryIndex = i;
}
}
for(int i = 0; i < entropys.length; i++){
entropys[i] = entropy(filterOption(data, categoryIndex, options[i]));
}
double numTotal = data.length - 1;
double currentEntropy;
double numOption;
double infoGain = entropy(data);
for(int i = 0; i < options.length; i++){
currentEntropy = entropys[i];
numOption = 0;
for(int j = 1; j < data.length; j++){
for(int k = 0; k < data[0].length; k++){
if(data[j][k].equals(options[i])){
numOption++;
}
}
}
infoGain -= (numOption/numTotal)*currentEntropy;
}
//might have to check if it is NaN like in entropy idk if this problem exists tho
return infoGain;
}
public static double highestInfoGain(String[][] data){
double highestGain = 0;
double currentGain;
for(int i = 0; i < data[0].length - 1; i++){
currentGain = infoGain(data, data[0][i]);
if(currentGain > highestGain){
highestGain = currentGain;
}
}
return highestGain;
}
public static String highestInfoGainCategory(String[][] data){
double highestGain = 0;
String highestGainCategory = null;
double currentGain;
for(int i = 0; i < data[0].length - 1; i++){
currentGain = infoGain(data, data[0][i]);
if(currentGain > highestGain){
highestGain = currentGain;
highestGainCategory = data[0][i];
}
}
return highestGainCategory;
}
public static String[] getOptions(String[][] data, String category){
ArrayList<String> options = new ArrayList<String>();
String[] firstRow = data[0];
int index = 0;
for(int i = 0; i < firstRow.length; i++){
if(firstRow[i].equals(category)){
index = i;
}
}
for(int j = 1; j < data.length; j++){
if(!(options.contains(data[j][index]))){
options.add(data[j][index]);
}
}
String[] ret = options.toArray(new String[options.size()]);
return ret;
}
public static int getCategoryIndex(String[][] data, String category){
for(int i = 0; i < data[0].length; i++){
if(data[0][i].equals(category)){
return i;
}
}
return 666;
}
public static Node makeDecisionTree(String[][] data){
String category = highestInfoGainCategory(data);
Node decisionTree = new Node(category);
String[] options = getOptions(data, category);
addOptions(data, decisionTree, category);
for(int i = 0; i < options.length; i++){
String[][] current = filterOption(data, getCategoryIndex(data, category), options[i]);
if((entropy(current)) == 0.0){
decisionTree.getChild(i).addChild(new Node(yesOrNo(current)));
}
else if(current.length == 2){
decisionTree.getChild(i).addChild(new Node(current[1][data[0].length]));
}
else if(hasNoAnswer(current)){
decisionTree.getChild(i).addChild(new Node("No Answer"));
}
else{
decisionTree.getChild(i).addChild(makeDecisionTree(current));
}
}
return decisionTree;
}
public static Node addOptions(String[][] data, Node node, String category){
String[] options = getOptions(data, category);
for(int i = 0; i < options.length; i++){
node.addChild(new Node(options[i]));
}
return node;
}
public static String yesOrNo(String[][] data){
return data[1][data[0].length - 1];
}
public static boolean hasNoAnswer(String[][] data){
for(int c = 0; c < data[0].length - 1; c++){
for(int r = 1; r < data.length - 1; r++){
if(!(data[r][c].equals(data[r + 1][c]))){
return false;
}
}
}
for(int r = 0; r < data.length - 1; r++){
if(!(data[r][data[0].length - 1].equals(data[r + 1][data[0].length - 1]))){
return true;
}
}
return false;
}
public static void play(String fileName){
String[][] data = readCSV(fileName);
Node decisionTree = makeDecisionTree(data);
playHelper(decisionTree);
}
public static void playHelper(Node n){
Scanner input = new Scanner(System.in);
if(n.getValue().equals("No Answer")){
System.out.println("No Answer");
input.close();
}
else{
System.out.println(n.getValue() + "?");
String answer = input.nextLine();
int index = -1;
for(int i = 0; i < n.getChildren().size(); i++){
if(n.getChild(i).getValue().toUpperCase().equals(answer.toUpperCase())){
index = i;
}
}
if(index == -1){
System.out.println("Your input is not a valid option. Either your combination does not exist in the dataset or you mistyped your answer.");
System.exit(0);
}
if(
n.getChild(index).getChild(0).getValue().toUpperCase().equals("YES") || n.getChild(index).getChild(0).getValue().toUpperCase().equals("NO") || n.getChild(index).getChild(0).getValue().toUpperCase().equals("Y") || n.getChild(index).getChild(0).getValue().toUpperCase().equals("N"))
{
System.out.println("The answer is: " + n.getChild(index).getChild(0).getValue());
}
else{
playHelper(n.getChild(index).getChild(0));
}
input.close();
}
}
}