Custom Performance Metric Preliminaries /* Load libraries */ from sklearn.metrics import make_scorer, r2_score from sklearn.model_selection import train_test_split from sklearn.linear_model import Ridge from sklearn.datasets import make_regression Create Feature /* Generate features matrix and target vector */ X, y = make_regression(n_samples = 100, n_features = 3, random_state = 1) /* Create training set and test set */ … Continue reading Machine Learning for Beginners in Python: Custom Performance Metric