A didactical dataset to learn supervised classification with candy

A didactical dataset to learn supervised classification

It was obtained from university level students measuring candy that was mixed and distributed in bowls to them. The goal of this dataset creation was to expose the students to the data taking process. Further, the dataset is meant for classification.

Dataset Structure

The dataset consists of 6 csv files:

• peanuts.csv represents the entire dataset (a concatenation of all group?.csv files) omitting the sample column
• peanuts_all.csv represents the entire dataset (a concatenation of all group?.csv files)
• files matching group[1-5].csv represent the measurements of each group

Data Representation

Each file contains 5 columns.  

• color, int values, 0: white, 1: black, 2: brown, 3: other
• shape, int values, 0: irregular, 1 round, 2: lens-like
• height, float values, in millimeter
• width, float values, in millimeter
• label, category, peanut/nopeanut

For more information on the didactical background, see the original publication that presented the concept for this activity.