Beginner
Artificial Intelligence & Machine Learning
Q27 / 100
What is the curse of dimensionality?
Correct! Well done.
Incorrect.
The correct answer is B) As feature dimensions increase, data becomes increasingly sparse and distances lose meaning, making ML algorithms less effective
B
Correct Answer
As feature dimensions increase, data becomes increasingly sparse and distances lose meaning, making ML algorithms less effective
Explanation
In high dimensions: distances between points converge, volume increases exponentially (more data needed), nearest neighbor becomes unreliable. Dimensionality reduction and feature selection help combat this.
Progress
27/100