Oranges-vs.-Grapefruit
OpenML dataset with id 43387
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102212/Oranges-vs.-Grapefruit.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 6 (numeric: 5, symbolic: 0 and in total binary: 0 )
Number of instances: 10,000
Number of instances with missing values: 0
Number of missing values: 0
Oranges vs. Grapefruit
The task of separating oranges and grapefruit is fairly obvious to a human, but even with manual observation there is still a bit of error. This dataset takes the color, weight, and diameter of an "average" orange and grapefruit and generates a larger dataset containing a wide variety of values and are "oranges" and "grapefruit".
Content
The dataset is mostly fictional. I'd love to collect real data, but for now measuring starting fruit and creating artificial samples from there seems adequate.
Inspiration
Binary classification situations are numerous, but tricky for teaching situations. I needed something to create a nice binary classification dataset and still be interesting.
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