# 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.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.exploratory.io/machine-learning/prediction_binary.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.