Data Leakage

2024 | AI Dictionary

What is Data Leakage: When training data contains information about the target that wouldn't be available in practice, leading to overfitting.

What is Data Leakage?

Data Leakage occurs when information from outside the training dataset is unintentionally used to create a model . This can cause the model to perform unrealistically well during training but fail in real-world applications because it has “seen” data that it wouldn’t normally have access to.

Causes of Data Leakage

Applications of Data Leakage

Example of Data Leakage

In predicting loan defaults, if a feature like “loan repayment status” is used in training but is collected after the loan is given, the model could incorrectly learn to predict loan default based on future data, leading to unrealistic performance and poor real-world results.

Did you liked the Data Leakage gist?

Learn about 250+ need-to-know artificial intelligence terms in the AI Dictionary.

Read the Governor's Letter

Stay ahead with Governor's Letter, the newsletter delivering expert insights, AI updates, and curated knowledge directly to your inbox.

By subscribing to the Governor's Letter, you consent to receive emails from AI Guv.
We respect your privacy - read our Privacy Policy to learn how we protect your information.

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

X

Y

Z