Less Is More: When It Comes to Predictive Coding Training, the “Fewer Reviewers the Better” – Part One - ComplexDiscovery Archived Content

Nov 25, 2013

2010-2018 ARCHIVED CONTENT

You are viewing ARCHIVED CONTENT released online from 1 April, 2010 to August 24, 2018. Content in this archive site is NOT UPDATED, and links may not function. For current information, go to ComplexDiscovery.com.

By Ralph Losey
In predictive coding the computer classifies and ranks an entire dataset based on an extrapolation of training documents selected by reviewers. The intelligence of the computer arises from the documents selected as input for training. Although good predictive coding software is designed to allow for, and adjust, a certain number of inconsistencies in the training documents, the fact remains, that the computer bases its analysis on the input provided. The computer has no innate knowledge or expertise of the issues in the case.

Read the original article at: eDiscovery Team – Less Is More

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Less Is More: When It Comes to Predictive Coding Training, the “Fewer Reviewers the Better” – Part One - ComplexDiscovery Archived Content

2010-2018 ARCHIVED CONTENT

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