Khatayi

Khatayi, also known as the "error function," is a mathematical function used primarily in statistics and machine learning to measure the difference between predicted values and actual true values. It helps assess how well a model is performing; smaller values indicate more accurate predictions. The function calculates the average of the squared differences, emphasizing larger errors to highlight significant deviations. Khatayi is essential in optimizing models, guiding adjustments to improve accuracy, and is foundational for training algorithms like neural networks by minimizing prediction errors during learning.