Data preparation to Classify Sushi from conveyor belt sushi restaurants based on simple parameters

Fifty sushi each were purchased from three different conveyor belt sushi chain restaurants, thus making a total of 150 different samples. Length in centimeter, height in centimeter, and weight in gram of each individual sushi was measured to prepare a dataset consisting of these three features (predictors). The three sushi restaurants Kappa Sushi, Kura Sushi, and Sushiro were the classes. Feature Selection and Feature Transformation were done using the Classification Learner App of the MATLAB Statistics and Machine Learning Toolbox version R2020b. 98.7% accuracy was obtained via KNN.