Deep Learning Systems
Accuracy refers to the measure of how often a model makes correct predictions compared to the total number of predictions made. It is a key performance metric that indicates the effectiveness of a model in classification tasks, impacting how well the model can generalize to unseen data and its overall reliability.
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