I need help with my R studio homework

Using the Fishing data in the mlogit package in R we want to predict the mode of fishing that individuals choose. Create a hold out sample of 10% of the data for validation purposes. With the caret package use 5 fold cross validation to create and select the following models: Classification Tree, Bagging, Random Forest, LDA, QDA, Multinomial Logistic Regression, and Naive Bayes. In each of these models you may use all other variables but mode as predictors. Once you have settled on a model compare prediction accuracy on the hold out sample you created (note you can do that with the caret package as well). Provide any insight on the model fits, or resulting predictions that you may find interesting. 

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