# Evaluate Prediction - Regression

Returns a data frame with evaluation score of regression including the below.

* r\_squared
* explained\_variance
* mean\_square\_error
* misclassification\_error
* root\_mean\_square\_error
* mean\_absolute\_error
* mean\_absolute\_percentage\_error

## How to Access This Feature

### From + (plus) Button

There are two ways to access. One is to access from 'Add' (Plus) button. ![](https://2850417076-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M4HLCK3olgduYoe3RVS%2F-M4oMvCUDQwHTJ0eWi_f%2F-M4oNFQPBRhf9tTU9aBg%2Fevaluate_regression_add.png?generation=1586795489404845\&alt=media)

Another way is to access from a column header menu. ![](https://2850417076-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M4HLCK3olgduYoe3RVS%2F-M4oMvCUDQwHTJ0eWi_f%2F-M4oNFQR2az3GX-z2wuU%2Fevaluate_regression_col.png?generation=1586795489231476\&alt=media)

## How to Use?

![](https://2850417076-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M4HLCK3olgduYoe3RVS%2F-M4oMvCUDQwHTJ0eWi_f%2F-M4oNFQa4KEyqCLEXoo4%2Fevaluate_regression_param.png?generation=1586795489238225\&alt=media)

* Predicted Value Column - The column with predicted values. Usually, it's predicted\_value in the framework of Exploratory.
* Actual Value Column - The column with actual value.