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'''[[Confidence Multiplier]]'''
'''[[Confidence Multiplier]]'''
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The '''''Confidence Multiplier''''' property of a [[Data Type]] allows you to manually alter the confidence score of returned values.
The '''''Confidence Multiplier''''' property of a '''[[Data Type]]''' allows you to manually alter the confidence score of returned values.


Use of this property is sometimes referred to as ''weighted rules''.  Its practical application allows a user to arbitrarily set the confidence of a '''Data Type''' extractor's result or increase or decrease the result's confidence.  This changes the confidence of the extractor's results, making them appear more (or less) favorable.  When used in combination with the '''''Order By''''' property set to ''Confidence'' on a parent '''Data Type''', you can manipulate which result the parent prioritizes.
Use of this property is sometimes referred to as ''weighted rules''.  Its practical application allows a user to arbitrarily set the confidence of a '''Data Type''' extractor's result or increase or decrease the result's confidence.  This changes the confidence of the extractor's results, making them appear more (or less) favorable.  When used in combination with the '''''Order By''''' property set to ''Confidence'' on a parent '''Data Type''', you can manipulate which result the parent prioritizes.

Revision as of 16:04, 10 August 2020

Getting Started

Grooper is a software application that helps organizations innovate workflows by integrating difficult data.

Grooper empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, Grooper is an intelligent document and digital data integration platform. Grooper combines patented and sophisticated image processing, capture technology, machine learning, and natural language processing. Grooper – intelligent document processing; limitless, template-free data integration.

Getting Started
Install and Setup
2.80 Reference Documentation


Featured Articles Did you know?

Confidence Multiplier

The Confidence Multiplier property of a Data Type allows you to manually alter the confidence score of returned values.

Use of this property is sometimes referred to as weighted rules. Its practical application allows a user to arbitrarily set the confidence of a Data Type extractor's result or increase or decrease the result's confidence. This changes the confidence of the extractor's results, making them appear more (or less) favorable. When used in combination with the Order By property set to Confidence on a parent Data Type, you can manipulate which result the parent prioritizes.

In effect, you change the rules about the weight or priority a particular child extractor by changing its confidence scores.

General Usage

Modifying the Confidence Multiplier property of a Data Type is done by clicking on the ellipses in the Result Options property which opens the Result Options submenu.

The Confidence Multiplier property defaults to 1 and can be changed in this submenu. The field is a double and takes floating point values.

For example, a value of 0.5 will multiply the confidence of output results by 0.5. If the output confidence was 100%, now it will be 50%. Similarly, you can increase the confidence, even above 100%. If the Confidence Multiplier property is set to 3, and an output result had a 50% confidence, it will not display as 150% confidence.

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New in 2.9 Featured Use Case

Welcome to Grooper 2.9!
Below you will find helpful links to all the articles about the new/changed functionality in this version of Grooper.

Compile Stats Microsoft Office Integration Document Viewer Separation and Separation Review
Data Review Confidence Multiplier Data Element Overrides Database Export
CMIS Lookup Content Type Filter Output Extractor Key Box (CMIS Binding)
LINQ to Grooper Objects

They’re Saving Over 5,000 Hours Every Year in Data Discovery and Processing


American Airlines Credit Union has transformed their data workflows, quickly saving thousands of hours in electronic data discovery , resulting in much greater efficiency and improved member services.

Discover how they:

  • Quickly found 40,000 specific files among one billion
  • Easily integrated with data silos and content management systems when no other solution would
  • Have cut their mortgage processing time in half (and they process mortgages for 47 branch offices!)
  • Learn from the document and electronic data discovery experts at BIS!

You can access the full case study clicking this link.


Other Resources