DonorsChoose released a dataset with information on project applications sent to organization and the status of whether or not it approved these projects. Using the decision tree and random forest models, I see to use the variables total resource cost, number of previously posted projects, length and number of essays submitted; month, day, year, and hour of submission; length of resource summary, length of title of the proposal, teacher prefix, project grade category, project subject category, and school state to predict approval of a project
