others. It is up to you to choose which ones you want to include. 1. Data First you must find a dataset with a qualitative response (categorical) and several predictors (at least 3). It does not have to be binary classification; you can choose multi-class if you wish. The hardest part of this project may be finding the right dataset the project, so make sure you spend a good deal of time finding one. 2. Modelling Construct a model by choosing the variables you think will be most useful for the prediction in your dataset. Discuss your model, and the variables you chose to include in it as well as the reasons why. Now choose at least 3 different classification techniques and discuss why you chose each one. Explain how their strengths/weaknesses apply to the dataset and which one you expected would perform the best. 3. Prediction Perform the prediction with your techniques. Evaluate the performance using some of the metrics we've used in this course. Discuss which technique delivered the best predictions