# Forecasting Model Explainer

{% hint style="success" %}
*Check out the given walk-through to understand the Model Explainer dashboard for the Forecasting models.*
{% endhint %}

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2F8AUcpyawkmgudnwZUmJI%2FForecasting%20Model%20Explainer.mp4?alt=media&token=96a738db-7c80-49c8-b3b7-55daf054f2db>" %}
***Forecasting Model Explainer***
{% endembed %}

The forecasting model stats get displayed through the Timeseries visualization that presents values generated over based on the selected time.

## Predictions

This chart will display predicted values generated by the timeseries model over a specific time period.

<figure><img src="/files/8zA94Pg3E3la0ay2dJJW" alt=""><figcaption></figcaption></figure>

## Predicted Vs Actual

This chart displays a comparison of the predicted values with the actual obsereved vlaues over a specific period of time.

<figure><img src="/files/X5aIXOLRrCxaN2V0tiFe" alt=""><figcaption></figcaption></figure>

## Residual

It depicts difference between the predicted and actual (residuals) values over a period of time.&#x20;

<figure><img src="/files/Fy9uW147jg6BtGd8CL3F" alt=""><figcaption></figcaption></figure>

## Predicted Vs Actual Scatter Plot

A Scatter Plot chart is displayed depicting how well the predicted values align with the actual values.

<figure><img src="/files/EFBk8T1KktR5ARDcWySu" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark>* *Refer the* [***Data Science Lab Quick Start Flow***](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow) *page to get an overview of the **Data Science Lab** module in nutshell.*&#x20;
{% endhint %}


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