Solving fruits classification problem in Python – Sushrut Tendulkar

In this blog post we'll try to understand how to do a simple classification on fruits data. Dataset contains fruit names as target variables and mass, width, height and color score as features. It is a simple data set with less than 100 training examples. To understand the distribution of fruit names let's plot count of each category using seaborn library. Looks like all the fruits are equally distributed except mandarin.