Databricks
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #23
Select the correct statement which applies to K-Nearest Neighbors
The correct answer is A. No Assumption about the data B. Computationally expensive D. Works with Numeric Values. k-Nearest Neighbors Pros: High accuracy insensitive to outliers, no assumptions about data Cons: Computationally expensive, requires a lot of memory Works with: Numeric values, nominal values
Supervised Learning
Question
Select the correct statement which applies to K-Nearest Neighbors
Options
- ANo Assumption about the data
- BComputationally expensive
- CRequire less memory
- DWorks with Numeric Values
How the community answered
(20 responses)- A80% (16)
- C20% (4)
Explanation
k-Nearest Neighbors Pros: High accuracy insensitive to outliers, no assumptions about data Cons: Computationally expensive, requires a lot of memory Works with: Numeric values, nominal values
Topics
#K-Nearest Neighbors#algorithm properties#non-parametric#memory-based learning
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