From f9228b12cf567c71809a6b717c563e6f0e648762 Mon Sep 17 00:00:00 2001
From: Filsergh <67797272+Filsergh@users.noreply.github.com>
Date: Sun, 1 Jun 2025 12:38:01 +0100
Subject: [PATCH] Update explainer_regression.mdx

---
 metrics/explainer_regression.mdx | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/metrics/explainer_regression.mdx b/metrics/explainer_regression.mdx
index 0b73f94..1d0632b 100644
--- a/metrics/explainer_regression.mdx
+++ b/metrics/explainer_regression.mdx
@@ -8,7 +8,7 @@ noindex: "true"
 
 #### **1. Model Quality Summary Metrics**
 
-Evidently calculate a few standard model quality metrics: Mean Error (ME), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE).
+Evidently calculates a few standard model quality metrics: Mean Error (ME), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE).
 
 <img height="704" width="2216" src="https://docs.evidentlyai.com/~gitbook/image?url=https%3A%2F%2F256125905-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FeE67gM4508ESQxkbpOxj%252Fuploads%252Fgit-blob-0592d3c8a92179e411b172cd8eb8884138505050%252Freg_perf_model_quality_summary.png%3Falt%3Dmedia&width=768&dpr=4&quality=100&sign=da983c12&sv=2" />
 
@@ -52,7 +52,7 @@ Quantile-quantile plot ([Q-Q plot](https://en.wikipedia.org/wiki/Q%E2%80%93Q_plo
 
 <img height="1066" width="2214" src="https://docs.evidentlyai.com/~gitbook/image?url=https%3A%2F%2F256125905-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FeE67gM4508ESQxkbpOxj%252Fuploads%252Fgit-blob-acfd422bc65e1153cd554783d72e8b5f26086365%252Freg_perf_error_normality.png%3Falt%3Dmedia&width=768&dpr=4&quality=100&sign=b88a9650&sv=2" />
 
-**Next, Evidently explore in detail the two segments in the dataset: 5% of predictions with the highest negative and positive errors. We refer to them as "underestimation" and "overestimation" groups. We refer to the rest of the predictions as "majority".**
+**After that, Evidently explores in detail two segments of the dataset: the 5% of predictions with the highest negative and positive errors. We refer to them as the "underestimation" and "overestimation" groups, respectively. The remaining predictions are referred to as the "majority" group.**
 
 #### [](https://docs.evidentlyai.com/presets/reg-performance#id-8.-mean-error-per-group)&#xA;**8. Mean Error per Group**
 
@@ -106,4 +106,4 @@ For each feature, Evidently also show the Predicted vs Actual scatterplot. It he
 
 <img height="1162" width="2314" src="https://docs.evidentlyai.com/~gitbook/image?url=https%3A%2F%2F256125905-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FeE67gM4508ESQxkbpOxj%252Fuploads%252Fgit-blob-12264ff6301d03477160f5b9f004d7af52476d88%252Freg_perf_error_bias_predicted_actual_per_feature.png%3Falt%3Dmedia&width=768&dpr=4&quality=100&sign=1992aeb7&sv=2" />
 
-### [](https://docs.evidentlyai.com/presets/reg-performance#metrics-output)&#xA;Metrics output
\ No newline at end of file
+### [](https://docs.evidentlyai.com/presets/reg-performance#metrics-output)&#xA;Metrics output