kNN classification algorithm implemented in Python.
usage: knn.py [-h] --dataset DATASET_PATH [--k K] [--test_size TEST_SIZE]
[--random_state RANDOM_STATE]
optional arguments:
-h, --help show this help message and exit
--dataset DATASET_PATH
path to dataset
--k K k value for kNN (Default: 3)
--test_size TEST_SIZE
size of test data in fraction (Default: 0.2)
--random_state RANDOM_STATE
random state for train_test_split (Default: None)
python knn.py --dataset dataset/Breast_cancer_data.csv --k 3 --test_size 0.2 --random_state 10