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There is a plethora of metrics that can be used to evaluate machine learning models. Deciding which metric to optimize a machine learning model’s performance is a crucial step for obtaining a model that performs as expected. Different domains have different consequences caused by model error, some of which are more critical than others. At Modzy, each set of metrics is carefully chosen for optimization and evaluation based on the domain requirements for each model. Multiple metrics are used to provide a comprehensive and transparent understanding of the performance of Modzy models.
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