Ground truth labels of Meal and No Meal for 5 subjects
- Extract features from Meal and No Meal data
- Make sure that the features are discriminatory
- Trains a machine to recognize Meal or No Meal data
- Use k fold cross validation on the training data to evaluate your recognition system
- Write a function that takes one test sample as input and outputs 1 if it predicts the test sample as meal or 0 if it predicts test sample as No meal.