Supervised Learning - Classification Week 8 Challenge

1) Advantages:

a) simple to understand and interpret.

b) No training phase. it classifies data without training

c) Adapts well to new data.

d) Easy to understand hyperparameters.

Disadvantages:

a) Does not work well with large dataset. Takes a lot of computation and memory.

b) Does not work well with high dimensionality.

c) Sensitivity to noisy data.

d) Data must be scaled properly.

e) bias towards majority class.