Data Science, Regularization, Machine Learning, Editors Pick, Hands On Tutorials.
dataset, into a test set. In this case the test dataset sets aside 20% of the original dataset at random. import numpy as np from sklearn.model_selection import train_test_split from sklearn import linear_model def get_bias(predicted_values, true_values): """ Calculates model bias :param