Using the MNIST subset provided by scikit-learn library.
MNIST is a computer vision dataset that consists of handwritten digits and labels for each image (which tells which digit it is)
k-NN classifier will be applied to the image dataset in order to recognize handwritten digits from the MNIST subset.
75% of the dataset will be training and the rest testing;
10% of the training data will be allocated to validation, while the remaining 90% will remain as training data
Accuracy will show the most efficient k to be used.
Evaluation on testing data evaluates the performance of the model
Note that the number of neighbors cannot be bigger than the number of observations in the training data set
- Clone this repo to your computer.
- Get into the folder using
cd Recognizing-handwritten-digits-KNN.
python MNIST_KNN_python.py