We are going to use linear programming to develop a simple machine learning algorithm to help us classify data points. The training data consists of 20 data points, each with 2 sensor readings x1 and x2, which are real numbers corresponding to the readout of two sensors during an event, and a classification y, which is either 0 or 1. 0 indicates that the event corresponding to the sensor data was determined to not be a gravitational wave, and 1 indicates that the event was determined to be a gravitational wave. The test data consists of sensor readings xi without any classification provided. Your task is to use the training data to develop a model that can predict the classification (0 or 1) based on the sensor data. You will then run your model on the test data to classify it. The true classification will be provided separately so you can check how well your model performed. What is the minimum requirement for the report that needs to be submitted?