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Einstein Prediction Builder Model Accuracy Template

Check how accurate your Einstein Prediction Builder model really is

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Free  

Never requires payment

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Business Need
Analytics

You've built a prediction with Einstein Prediction Builder. Sometime has gone by and now you want to check how good your model is. Install this Einstein Analytics template and get answers!

  • Set up the Einstein Prediction Builder Model Accuracy App

Compatibility

Salesforce Editions
Enterprise
Unlimited
Developer
Additional Requirements
Einstein Analytics

App Details

Version
EPB Prediction Accuracy/1.3 1.3.0
Listed On
11/05/2019
Latest Release
01/09/2023
Supported Features
Lightning Ready
Optimized for Salesforce orgs that use Lightning Ready.
Editable Code
This product is installed as an unmanaged package in your Salesforce org and its code is available to view and modify.
Lightning Ready
Editable Code
Package Contents
If this app is a managed package, the custom apps, tabs, and objects that it contains don't count against your Salesforce allocations. If this app is not a managed package, allocations apply. Learn More in Help
Custom Objects: 0
Custom Tabs: 0
Custom Apps: 0
Lightning Components
Global: 0
App Builder: 0
Community Builder: 0
Languages
English

Security

This solution is a Non-SFDC Application as defined in Salesforce’s Main Services Agreement. Notwithstanding these Security Requirements or any security review of a Partner Application, Salesforce makes no guarantees about the quality or security of this solution. You’re responsible for evaluating this solution’s quality, security, and functionality.
Last Reviewed Version
The most recent solution version that underwent the AppExchange Security Review. Undergoing the Security Review doesn't guarantee a solution’s security.
1.3.0
Last Reviewed Date
The most recent date that this solution underwent the AppExchange Security Review. Undergoing the Security Review doesn’t guarantee a solution’s security.
10/31/2019

Additional Details

Measure the predictive performance of your binary classification model against actual results. Point this template to an object with an Einstein Prediction Builder prediction, choose the actual & predicted score fields and let this template do the rest. Use the Accuracy view to understand how the model has performed across 2 dimensions of your choice Use the Confusion Matrix view" to understand areas where the model is performing well and areas where it is not. Most importantly, you will be able to quantify the types of errors the model is making (e.g False Positives vs False Negatives)

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Salesforce Labs

San Francisco, CA, USA

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