Heartbeat, Machine Learning, Loss Function, Data Science.
value for this data point is Ŷi, then the mean absolute logarithmic error can be calculated as: Where n is the total number of observations in our dataset. Example: from sklearn.metrics import mean_squared_log_error #sample data actual = [3, 5, 2.5, 7, 11] predicted = [2.5, 5, 4, 8, 10.5]