StackedML
Practice
Labs
Questions
Models
Pricing
Sign in
Questions
/
ML Fundamentals
/
Core Concepts
/
Bias-variance tradeoff
← Previous
Next →
172.
Definition of Bias in ML
easy
Which of the following best describes bias in a machine learning model?
A
The error introduced by using a finite training set instead of the full population distribution
B
The error from incorrect assumptions in the learning algorithm causing systematic underfitting
C
The error caused by applying a model trained on one distribution to a different deployment distribution
D
The error from sensitivity to small fluctuations in the training data causing inconsistent predictions
Sign in to verify your answer
← Back to Questions