Supervised Learning - Classification Week 8 Challenge

2.

Pros

-Simple to understand and easy to implement

-Zero to little learning time.

-Works easily with multi-class data sets.

-Has good predictive power.

-Does well in practice

Cons

-Computationally expensive testing phase.

-Can have skewed class distributions.

-The accuracy can be decreased when it comes to high-dimension data.

-Need to define a value for the parameter k.