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Artificial intelligence

The ability of a machine to learn and perform tasks that are typically associated with human intelligence.

True Positive

True Positive

Introduction Introduction: In the context of binary classification, a true positive refers to a situation where a model correctly predicts a positive outcome when the actual outcome is indeed positive. It represents the instances where… Read More »True Positive

Specificity

Specificity

Introduction Introduction: Specificity refers to the level of detail and precision in communication or decision-making. It involves providing clear and explicit information, instructions, or criteria that leave no room for ambiguity or misinterpretation. Being specific… Read More »Specificity

Receiver Operator Characteristic

ROC

Introduction The Receiver Operator Characteristic (ROC) is a graphical representation and evaluation tool used in statistics and machine learning to assess the performance of binary classification models. It plots the true positive rate (sensitivity) against… Read More »ROC