This is a k-nearest neighbors classification algorithm for flower measurements of irises.
Data obtained from: https://archive.ics.uci.edu/ml/datasets/Iris
Completed: Algorithm, run me. By running run.py, the classifier will classify the test data set, output the predictions and the model's accuracy. Runs in a Docker container.
To Do: Add more algorithms to classify the same data set and analyze speed and accuracy for each.