StackedML
Practice
Labs
Questions
Models
Pricing
Sign in
Questions
/
Supervised Learning
/
Linear Models
/
Linear regression (OLS, assumptions)
← Previous
Next →
550.
OLS Definition
easy
What does OLS stand for and what does it minimize?
A
Optimal Linear Solution — it minimizes the absolute deviation between predictions and actuals
B
Orthogonal Linear Scoring — it minimizes the squared distance between feature vectors
C
Ordinary Least Squares — it minimizes the sum of squared residuals
D
Ordered Likelihood Scoring — it minimizes the negative log-likelihood of the residuals
Sign in to verify your answer
← Back to Questions