You just finished training a decision tree for spam classification, and it is gettingabnormally bad performance on both your tra
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Answer:
Explanation:
The following code is written in Java. It creates the class OrthokonBoard which holds a 4x4 grid board in which each space is an "x" . Once the user creates an OrthokonBoard object they need to pass the positions of player 1 and 2 as an integer array of an x and y coordinate on the grid. Then the constructor of the object places the players on the board. A test version of the class was added to the main method and the output can be seen in the attached picture below.
class Brainly {
public static void main(String[] args) {
int[] player1Pos = {1, 1};
int[] player2Pos = {3,3};
OrthokonBoard newBoard = new OrthokonBoard(player1Pos, player2Pos);
for (char[] x : newBoard.board) {
System.out.println("");
for ( char y : x) {
System.out.print(y + " ");
}
}
}
}
class OrthokonBoard {
char[][] board = {{'x', 'x', 'x', 'x'}, {'x', 'x', 'x', 'x'}, {'x', 'x', 'x', 'x'}, {'x', 'x', 'x', 'x'}};
public OrthokonBoard(int[] playerOnePos, int[] playerTwoPos) {
board[playerOnePos[0]][playerOnePos[1]] = '1';
board[playerTwoPos[0]][playerTwoPos[1]] = '2';
}
}
