The loss function
Example: Loss function measures difference between predicted and actual values
Definition
"The loss function" is a mathematical function used in data science and artificial intelligence to quantify the difference between predicted values and actual values, guiding the optimization process by indicating how well a model performs during training.
Etymology
The term "the loss function" comes from the concept of 'loss' in mathematics and statistics, referring to the penalty for errors in predictions. 'Function' denotes a mathematical relationship. This phrase originated in the field of machine learning as a way to measure prediction error and improve model accuracy.
Learn to use this word actively
"The loss function" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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