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**The difference of the K-Nearest Neighbors approach**

Breiman, L. (2001). Statistical modeling: The two cultures (with comments and a rejoinder by the author). Statistical Science, 16(3), 199-231.

In Statistical Learning:
→ Data modelling
y(𝒳1, 𝒳2,....𝒳n) = ꞵ0 + ∑ ꞵi𝒳i + ε
- e.g., Multiple regression, Discriminant Analysis, etc.,
Algorithmic modelling
- A set of algorithmic instructions that relate the independent and dependent variables.
- e.g., K-Nearest Neighbors , Random forests, etc.,

**Prediction**

KNN description for two inputs as well as classifications problems

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