Glossary

Binary Classification is a vital concept within machine learning, aimed at categorizing given observations into one of two possible classes. This supervised learning approach is an essential tool for numerous applications in the data-driven world.

F-Score metrics (Accuracy, Precision, Recall, and F1 Score) assess classification model performance. Accuracy gauges correct predictions, Precision evaluates true positives, Recall denotes model sensitivity, and F1 Score is Precision and Recall’s harmonic mean.

AI or Artificial Intelligence is transforming our world, constituting machines that mimic cognitive human functions, such as learning, problem-solving, decision-making, and more. It’s a key player in the tech advancement field.