this is programming and this is R language Question 1 Build a decision tree classifier to classify diabetes dataset Calculate the accuracy, and confusion matrix for the model If the measurement of Glucose, insulin and sspg for a person are 100, 1050, 200 respectively. Create a tibble representing this data and use the created model to check the category of this person Question 2 Repeat question 2 part (a) using Random Forest model instead of single decision tree. Calculate the accuracy of the new created model. Compare the accuracy obtained in the two models. Comment on that

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Eight puzzle problem

The N-puzzle problem contains N tiles (N+1 including empty tiles) where the value of N can be 8, 15, 24, etc. The puzzle is divided into the square root of (N+1) rows and the square root of (N+1) columns. These problems have an initial state or configuration and a goal state or configuration. The puzzle can be solved by shifting the tiles one by one in the empty space. The objective is to place the numbers on the tiles to match the final state using the empty space. The other name for the N-puzzle problem is the sliding puzzle.