Back
All Modules Machine Learning ML Foundations Nearest Neighbors & Evaluation Basics

Nearest Neighbors & Evaluation Basics

k-NN, choosing k, cross-validation, confusion matrices, and the cost of it all.

0 / 8 solved
0/8 solved
Question Tags Difficulty Success
1. Majority Rules
knnclassification
Easy 75%
2. Everything Is The Same Distance
knncurse-of-dimensionality +2
 Medium 55%
3. Too Cool, Too Chill
knnbias-variance
Easy 100%
4. Distance Weights Flip the Vote
knnweighted-voting +2
 Easy 57%
5. Scaled Before Split
cross-validationdata-leakage +2
 Medium 80%
6. Reading the Grid
confusion-matrixevaluation
Easy 47%
7. Same Ratio, Every Fold
cross-validationclass-imbalance
Easy 83%
8. The LOO Tax
cross-validationcomplexity
Medium 86%

Learning Resources

MIT 6.036, Introduction to Machine Learning
StatQuest (visual ML concept videos)

Up next

8 of 8 questions here are still unsolved.

Next module Generative Models & Gaussians