In a single statement or a few lines, define and contrast random forest with decision trees. How can we assure that we randomize twice while using the random forest algorithm?

This figure shows the game tree where the Max as the first player tried to maximize the player's score and the leaves are the values returned based on the values it has been positioned. Max Min Max Min 33 24 18 26 25 28 22 47 23 19 33 15 18 22 36 26 (a) Fill in the values for Min-Max algorithm which is empty and show the best move for Max player as the first player. (b) As shown conduct the alpha-beta pruning on the game tree. Suppose, the tree is processed from left to right. Cross out the branches and shade the nodes that are not required to be explored.

Explain what a random forest is and how it is different from a decision tree in one or two sentences. How can we be sure to randomize twice when we use the random forest algorithm?|

Here is a 2x2 go game tree (each circle shows a pass move). For each leaf (in left-to- right order, so H IDJK F G), give the Tromp-Taylor score (Black points+ territory minus White points+ territory) of that position. E.g. the first leaf has score 0. А D E F G H I J,