Data Science, Regularization, Machine Learning, Editors Pick, Hands On Tutorials.
str(get_bias(predictions, test_targets))) print('Variance:' + str(get_variance(predictions))) features = [[3, 40, 1, 0], [1, 60, 0, 0], [4, 35, 1, 1], [2, 60, 0, 1], [0, 0, 1, 0], [4, 25, 1, 0], [3, 15, 1, 0], [1, 15, 1, 1], [4, 10, 1, 0]] targets = [120, 24, 95, 135, 48, 105, 75, 80, 30]