# Evaluate Prediction - Multiclass

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

* micro\_f\_score
* macro\_f\_score
* accuracy
* misclassification\_rate

## 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-M4oNE2wdkJXkBmQs8Wp%2Fevaluate_multi_add.png?generation=1586795486129478\&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-M4oNE3-S7VF_y54TPeI%2Fevaluate_multi_col.png?generation=1586795485949620\&alt=media)

## How to Use?

![](https://2850417076-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M4HLCK3olgduYoe3RVS%2F-M4oMvCUDQwHTJ0eWi_f%2F-M4oNE32UAq-h3GKfFLJ%2Fevaluate_multi_param.png?generation=1586795486018000\&alt=media)

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