Artificial Intelligence Class, Ive submitted these questions once where the person answered question 2 only. If possible please answer both questions and type the answers if possible. This is not a rush so take your time I dont need them until Monday afternoon.

If you also cannot read these pictures please see the questions I posted in another post as well as there is another post of This same question in your database by someone else so you ca use that for better viewing. The only thing is I could not read the solution is why Im asking the question again and for it to be typed.

Question 1. Use gain ratio (using Gain based on entropy) to manually construct the decision tree from the following dataset, and show us the procedure step by step. Please also compare yours with the true tree shown after the data Day Outlook Temperature Humidity Wind Play Tenni D1 Sunny D2 Sunny D3 Overcast Hot HighWeak No High Strong No High Weak Yes High Weak Yes Norma Weak Yes Mild D5Rain DG Rain D7 OvercastCool Normal Strong Normal Stong Yes High Weak No Normal WeakYes Normal Weak Yes Normal Strong Yes High Strong Yes Normal WeakYes High Strong No Mild unny unnv D10 Rain D11 Sunny D12 Overcast D13 Overcast D14 Rain Mild Mild Mild 01234 Outlook Rain Sunny Overcast Wind Humidity Yes Strong Weak High Normal No Yes No Yes Humidity Wind es High Normal Strong Weak No Yes No Yes Question 2. Suppose you have obtained the following decesion tree. The distribution of training examples of each node is shown in the tree. Try to use the pessimistic error estimation strategy to prune the following. Please show the procedue and the reason of the pruning. Patrons? None me Full the reason of the pruning. Patrons? None me Full Hungry? Yes No Type? French /// tallar That. Burger FriSat? No Yes Question. Use gain ratio (using Gain based on entropy) to manually construct the decision tree from the following dataset, and show us the procedure step by step. Please also compare yours with the true tree shown after the data. D2 Sunny ot High Strong No High Weak Ye High ek Yes DI Rain DS Rain DG Rain D7 Overcast Cool rmal Strong Yes D8 Sunny Mild Do Sunny Cool Nal Weak Yes D10 Rain D11 Sunny Mnd ormal Strong Yes D12 Overeast Mld D13 Overcast Bot D14 Rain Mald Cool N Weak Cool rmal Strong N alNormal WeakYes High Strong Yes Normal eak Yes Mnld Question 2. Suppose you have obtained the following decesion tree. The distribution of training examples of each node is shown in the tree. Try to use the pessimistic error strategy to prune the following. Please show the procedue and the reason of the pruning. estimation Pations? None Full No Burger FriSat? No Yes