AI Simplified: Target Leakage

November 5, 2018
by
1 min

In this installment of the AI Simplified video series Jake Shaver, Program Manager at DataRobot, talks about target leakage, one of the most challenging issues when developing a machine learning model.

“Target leakage is a problem because if you use a mode that contains leakage, it may look good during the training phase, but it will make wildly inaccurate predictions once you finally get to using it in a production environment.” — Jake Shaver

Target leakage is essentially when you’re using data from the future in order to try and predict the past. Unsure of how this can happen? You’re not alone. Watch the AI Simplified: Target Leakage video below for a high level introduction to the topic along with a useful analogy and helpful use cases:

Want more AI Simplified? Visit our YouTube channel for more videos!

 New call-to-action

About the author
0 4
Ashley Smith

Meet Ashley Smith
Share this post
Subscribe to our Blog

Thanks! Check your inbox to confirm your subscription.

Thank You!

We’re almost there! These are the next steps:

  • Look out for an email from DataRobot with a subject line: Your Subscription Confirmation.
  • Click the confirmation link to approve your consent.
  • Done! You have now opted to receive communications about DataRobot’s products and services.

Didn’t receive the email? Please make sure to check your spam or junk folders.

Close

Newsletter Subscription
Subscribe to our Blog