Skip to content
ml-recall

#feature-scaling

12 questions from ML Fundamentals, Data & Features, Linear Models & Regularization, Nearest Neighbors & Kernel Methods, Support Vector Machines, Clustering, Dimensionality Reduction, Training Deep Networks

Timed test

12 questions · 12 min · score and explanations at the end

Take a test
Q 1 / 12Score 0 / 0

Question 1: Single choice

mediumAI-checkedML Fundamentals

A random forest predicts taxi fares. You multiply one feature, the absolute change in latitude, by 1000 (as if changing its unit), retrain, and recompute permutation importance on the validation data. What happens to that feature's permutation importance?

Choose one option