# Prediction - Binary Classification

## How to Access This Feature

### From + (plus) Button

From a step that create a model, you can access it from 'Add' (Plus) button. ![](https://2850417076-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M4HLCK3olgduYoe3RVS%2F-M4oMvCUDQwHTJ0eWi_f%2F-M4oNFLZkYsJAgUfQMBT%2Fprediction_binary_add.png?generation=1586795489061477\&alt=media)

## How to Use?

![](https://2850417076-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M4HLCK3olgduYoe3RVS%2F-M4oMvCUDQwHTJ0eWi_f%2F-M4oNFLaQ90hX5pedN5U%2Fpredicion_binary_param.png?generation=1586795489249046\&alt=media)

* Data - You can choose
  * Training - Get predicted values by training data.
  * Test - Get predicted values by test data.
  * Data Frame - Get predicted values by other data frame.
* Threshold Value to Decide Predicted Label - You can choose how to decide threshold for predicted label.
  * Use Optimized Value - This searches threshold to optimize the chosen metric. It can be
  * F Score
  * Accuracy
  * Precision
  * Recall
  * Specificity
* Enter Manually
  * Set threshold value manually.