Solving A Simple Classification Problem with Python -- Fruits Lovers' Edition

In this post, we'll implement several machine learning algorithms in Python using Scikit-learn, the most popular machine learning tool for Python. Using a simple dataset for the task of training a classifier to distinguish between different types of fruits. The purpose of this post is to identify the machine learning algorithm that is best-suited for the problem at hand; thus, we want to compare different algorithms, selecting the best-performing one. The fruits dataset was created by Dr. Iain Murray from University of Edinburgh. He bought a few dozen oranges, lemons and apples of different varieties, and recorded their measurements in a table.