Oranges Vs. Grapefruit
Orange and grapefruit diameter, weight, and color data.
@kaggle.joshmcadams_oranges_vs_grapefruit
Orange and grapefruit diameter, weight, and color data.
@kaggle.joshmcadams_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".
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.
Binary classification situations are numerous, but tricky for teaching situations. I needed something to create a nice binary classification dataset and still be interesting.
CREATE TABLE citrus (
"name" VARCHAR,
"diameter" DOUBLE,
"weight" DOUBLE,
"red" BIGINT,
"green" BIGINT,
"blue" BIGINT
);Anyone who has the link will be able to view this.