What is the difference between K$-$nearest neighbors and decision three algorithms?

$2.$

Create a K$-$Nearest Neighbor and CART models using the training data set that predicts income using marital status and capital gains and losses. Visualize the decision tree $($that is$,$ provide the decision tree output$).$ Describe the first few splits in the decision tree.

$3.$

Use random forests on the training data set to predict income using marital status and capital

gains and losses.

$4.$

Use random forests using the test data set that utilizes the same target and predictor variables.

Does the test data result match the training data result?