Suppose you have a data file of machines that includes data on various aspects of their operation. You want to use is to make two models. One is a model to predict whether a machine will break down next month. The other is a model to predict how much electricity a machine will use next month. Most algorithms are not appropriate for making all types of models. For each algorithm below, match it with whichever of these two models the algorithm would be appropriate for. Group of answer choices Linear regression is appropriate for making the model to predict electricity usage. Regression tree is appropriate for making the model to predict electricity usage. Logistic regression is appropriate for making the model to predict whether a machine will break down. Classification tree is appropriate for making the model to predict whether a machine will break down. k-Nearest Neighbors for classification is appropriate for making [ Choose ] Neural networks for classification is appropriate for making [ Choose ]