Ground Truth 🏛 | Revue

There’s a term in machine learning called “ground truth”. It’s used as a label describing the ideal expected result, i.e, the correct result. The purpose of the ground truth is to determine how well a machine learning algorithm is performing. Once the ground truth is defined, the algorithm will continue to optimize itself until its own predictions match the ground truth. It’s easy to forget that the ground truth isn’t always true. It’s a subjective description that often carries biases and assu…