Mean Absolute Error (MAE)
Statistical Inference DS practice problem on Onlearn.
Difficulty: easy.
Topics: Understanding Calculate Mean Absolute Error (MAE), Mean Absolute Error, L1 Norm, Residual Analysis, Absolute Deviation, Arithmetic Mean, Probability & Statistics, Supervised Learning, Numerical Analysis, Model Evaluation, Data Preprocessing, Statistical Inference, Regression Analysis, Error Metrics, Vector Operations, Performance Benchmarking.
Implement a function to calculate the Mean Absolute Error (MAE) between two arrays of actual and predicted values. The MAE is a metric used to measure the average magnitude of errors in a set of predictions without considering their direction.