$30
Given: Meal Data and No Meal Data of 5 subjects
Ground truth labels of Meal and No Meal for 5 subjects
Todo:
a) Extract features from Meal and No Meal data
b) Make sure that the features are discriminatory
c) Trains a machine to recognize Meal or No Meal data
d) Use k fold cross validation on the training data to evaluate your recognition system 处理数据
e) 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.