https://github.com/rmodi6/knn

k Nearest Neighbors classification algorithm implemented in Python
https://github.com/rmodi6/knn

knn knn-classification machine-learning python3

Last synced: 11 months ago
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k Nearest Neighbors classification algorithm implemented in Python

• Host: GitHub
• URL: https://github.com/rmodi6/knn
• Owner: rmodi6
• License: mit
• Created: 2020-05-08T02:41:24.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-13T22:13:52.000Z (over 5 years ago)
• Last Synced: 2025-01-11T08:08:58.777Z (about 1 year ago)
• Topics: knn, knn-classification, machine-learning, python3
• Language: Python
• Homepage:
• Size: 13.7 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# k Nearest Neighbors

kNN classification algorithm implemented in Python.

### Usage

```bash

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)

```

### Example

```bash

python knn.py --dataset dataset/Breast_cancer_data.csv --k 3 --test_size 0.2 --random_state 10

```