bscuron/KNN

Handwritten Digit Classification using the MNIST Dataset

MNIST Digit Recognition

Demo

Quickstart

$ unzip data.zip                     # MNIST data
$ pip3 install -r ./requirements.txt # 3rd-party dependencies
$ python3 main.py

Statistics

	precision	recall	f1-score	support
0	0.96	1.00	0.98	980
1	0.95	1.00	0.98	1135
2	0.98	0.96	0.97	1032
3	0.96	0.97	0.97	1010
4	0.97	0.97	0.97	982
5	0.96	0.97	0.96	892
6	0.98	0.98	0.98	958
7	0.95	0.96	0.96	1028
8	0.99	0.93	0.96	974
9	0.97	0.95	0.96	1009
accuracy			0.97	10000
macro avg	0.97	0.97	0.97	10000
weighted avg	0.97	0.97	0.97	10000