-
If model quality is too good to be true (>95%), then what should you try?
If model quality is too good to be true (>95%), then what should you try while working in Salesforce Einstein?
-
1 Reply
-
When the model quality is too high, we usually suspect hindsight bias. Einstein detects and removes any fields susceptible to hindsight bias, but it’s always good to double-check your dataset for other fields that should be removed.
Log In to reply.
Popular Salesforce Blogs
Validation Rules in Salesforce - Get Started
What Are Validation Rules and How Do They Work? Validation rules are frequently used to ensure the integrity of data or records. Validation rules are…
Lightning Web Components — Build Lightning Fast Salesforce Apps
Salesforce launched Lightning Web Components as part of Spring ’19 pre-release to enable a quicker and easier way to program applications on the Salesforce Lightning platform. It…
Modern Architectures That Maximize Salesforce Efficiency
Businesses that rely on Salesforce in today's rapidly changing digital ecosystem must ensure their systems are flexible, scalable and resilient. Salesforce is a powerful platform…
Popular Salesforce Videos
Validation Rules in Salesforce | Video Tutorial Guide
In this video, Srinu Namani briefs about Validation Rules in Salesforce. Validation rules are an important part of keeping your data clean and organized, and…
Knowledge Base in Salesforce Lightning
By end of this video, we will be able to 1. Understand what is knowledge base. 2. Why we need to use Knowledge base 3.…
What are Global Picklists and Field Dependency in Salesforce? | How to Create Global Picklists?
In this video, Shrey is not only teaching but also demonstrating to you "What are Global Picklists & Field Dependency in Salesforce?". You will be…
