#Classification

SVM is a machine learning algorithm that teaches subtle hostility to emerge between planes and vectors. It constantly insists on drawing boundary lines to flaunt its own purity. Yet it trembles at noise in the data, shifting its form at the slightest exception. It escapes into the complexity of high-dimensional spaces, spreading the illusion that linear separation is a magic trick. Finally, it discards us, entrusting its judgement to support vectors that leave no room for rebuttal.

Typology is the intellectual sport of cramming every phenomenon into a preexisting framework, granting a sense of security while freezing the imagination. It insists "that fits this type, that fits that type," ruthlessly silencing rebels known as exceptions. While satisfying our craving for rational order, it banishes unpredictability and creative thought. Its practitioners revel in stability, unaware they have become wardens of the prison they built.