Simple Handwritten Character Recognition Classifier (Challenge)

# Introduction

In this challenge, we will be implementing a simple handwritten character recognition classifier. Using the DIGITS dataset provided by the scikit-learn library, we will build a function that can classify a single sample of a handwritten character image. The objective is to create a function that takes in a list representing the pixel values of the image and returns the predicted label for the character. The function should achieve a cross-validated classification accuracy of at least 80% on the DIGITS dataset.