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+---- Thread: Stop Guessing AI Metrics: Regression Explained with MSE, RMSE, MAE, R & MAPE (/showthread.php?tid=6316040)
Stop Guessing AI Metrics: Regression Explained with MSE, RMSE, MAE, R & MAPE - Stanley - Dec 17, 2025
Stop Guessing AI Metrics: Regression Explained with MSE, RMSE, MAE, R² & MAPE
Regression in machine learning predicts numbers, not categories.
To evaluate such models, common metrics are used: MSE and RMSE penalize large errors, MAE shows the average absolute error, R-squared explains how well the model fits the data, and MAPE expresses error as a percentage. Each metric has its strengths, and the right choice depends on whether you care more about interpretability, outliers, or large mistakes.
https://hackernoon.com/stop-guessing-ai-metrics-regression-explained-with-mse-rmse-mae-r-and-mape?source=rss