Abhishek Jain·Jun 29, 2025MAPE — Mean Absolute Percentage Error and SMAPE — Symmetric MAPE — Loss function for regressionMAPE is used as a loss function for regression problemsA response icon1A response icon1
InStackademicbyGanesh Bajaj·Sep 28, 2024Going Beyond Absolute Errors: Penalize Under-Forecasting More than Over-Forecasting with SMAPEWhile Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) are common metrics for evaluating forecasting models, they don’t always…A response icon1A response icon1
Christineh Valtitude·Sep 23, 2024Demand Planning — MAPEOne of the most commonly asked questions through this website is the denominator for MAPE. Why do we recommend using the Actual Demand…
InMirko Peters — Data & Analytics BlogbyMirko Peters - Microsoft MVP·Apr 8, 2024Skyrocket Your Sales Forecasts with Predictive Analytics Mastery!Unlock the power of predictive analytics to transform your sales forecasting from guesswork to precision science. Learn the cutting-edge…
Madhura Ganguly·Nov 19, 2023Pitfalls of MAPE as a forecast accuracy metricDespite being a very popular metric for measuring forecast accuracy in time series forecasting, MAPE certainly has its strengths and…A response icon1A response icon1
Chrisitine·Aug 11, 2023MAPE vs WMAPEForecasting plays a pivotal role in today’s business landscape, enabling organizations to make informed decisions, allocate resources…
ProphetStor·Apr 10, 2023CrystalClear by ProphetStor: Transforming Time Series Forecasting for Microservices ManagementConsider a world in which cloud operations are constantly optimized with the same level of intelligence and personalization…
InGAMMA — Part of BCG XbyEmilio Lapiello·Jun 14, 2022How good is your forecasting? Unpacking metrics to evaluate true business impact of your modelsAssessing machine learning models with granular metrics can boost business impact.
