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6 changes: 3 additions & 3 deletions metrics/explainer_regression.mdx
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Expand Up @@ -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" />

Expand Down Expand Up @@ -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**

Expand Down Expand Up @@ -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
### [](https://docs.evidentlyai.com/presets/reg-performance#metrics-output)&#xA;Metrics output