Using the K-nearest neighbor algorithm on dating sites

(1) Collect data: Provide text file

(2) Preparing data: Parsing text files with Python

(3) Analyzing data: Using Matpltlib to draw two-dimensional diffusion graphs

(4) Training algorithm: This step does not apply K-nearest neighbor algorithm

(5) test algorithm: Using some of the data provided by Helen as a test sample, the difference between the test sample and the non-test sample is that the test sample is the data that has been sorted, and if the forecast classification is different from the actual category, it is marked as an error

(6) Use algorithm: Generate a simple command-line program, then Helen can enter some characteristic data to determine whether the other person is the type of their liking.

Using the K-nearest neighbor algorithm on dating sites