WEBVTT 00:00:03.200 --> 00:00:06.162 A k-nearest neighbor model is a modeling approach 00:00:06.162 --> 00:00:09.470 where we take an observation and find closely related 00:00:09.470 --> 00:00:11.945 other observations or neighbors, 00:00:12.295 --> 00:00:15.460 and use information about those neighbors to make a prediction. 00:00:16.060 --> 00:00:16.866 For instance, 00:00:16.866 --> 00:00:20.342 if a given flower is very similar to five other flowers, 00:00:20.342 --> 00:00:22.564 that are classified as flower type A, 00:00:23.034 --> 00:00:26.308 it would stand to reason we can predict our given flower 00:00:26.308 --> 00:00:28.274 is also flower type A.