Project2_Part3

In this release we cleaned up our code so it could look neater. Additionally, we combined the code for part 1 and part 2.

Project2_Part2

In this release we implemented a simple user interface(ui) that prompts the user to type in the name of the dataset that they want to use. We also implemented the NN classifier and the validator which runs for the features that are inputted in the 1st parameter. Additionally, we normalized the data for each column. Finally, we reported the time it took to normalize, the features that were used, the time it took to get the accuracy and the accuracy.

Project2_Part1

In this release we implemented a simple user interface(ui) that prompts the user to choose the number of features and choose between Forward Selection, Backward Selection, and a special algorithm (the special algorithm is for later use). We also implemented both forward selection and backward selection which ran until the accuracy decreased or until there were no more features to add/remove.