playground · A4 · ethics tie-in A4.4.1
Machine learning, two features at a time
A k-nearest-neighbours classifier and its decision boundary, live. The ethics behind it
Each dot is a student: hours studied across, hours slept up. Green passed the exam. Clean clusters: an easy job for any classifier.
Filled dots = training data (what the model learns from) · outlined = test data (what it is judged on)