Supervised Learning - Classification Week 8 Challenge

high dimensional data may not perform as well as other techniques.

KNN can benefit from feature selection that reduces the dimensionality of the input feature space.

this is the mAIN key note

Pros:-

As there is no training period thus new data can be added at any time since it wont affect the model.

cons:-

Does not work well with large dataset as calculating distances between each data instance would be very costly.

it is quite computationally inefficient and its difficult to pick the correct value of K.