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Author: BCS2022

articles/machine-learning/how-to-understand-automated-ml.md

@@ -202,7 +202,7 @@ spearman_correlation| Spearman correlation is a nonparametric measure of the mon
 
 ### Metric normalization
 
-Automated ML normalizes regression and forecasting metrics which enables comparison between models trained on data with different ranges. A model trained on a data with a larger range has higher error than the same model trained on data with a smaller range, unless that error is normalized.
+Automated ML normalizes regression and forecasting metrics which enable comparison between models trained on data with different ranges. A model trained on a data with a larger range has higher error than the same model trained on data with a smaller range, unless that error is normalized.
 
 While there is no standard method of normalizing error metrics, automated ML takes the common approach of dividing the error by the range of the data: `normalized_error = error / (y_max - y_min)`