👉 Racinesses are characteristics or qualities that distinguish one person from another. These can be subjective, based on personal experiences and observations, or objective, such as genetic traits, medical conditions, or personality traits. Racinesses can include physical attributes, behavioral patterns, social status, or even mental health issues. They often arise in diverse populations and are not always clearly defined by any one factor.
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What is the definition of Raciness? 🙋
👉 Raciness, in the context of artificial intelligence and machine learning, refers to the phenomenon where a machine learning model's performance is affected by the training data it was trained on. This can happen when the dataset used for training does not accurately reflect the characteristics of the real-world problem being solved or when the model has been overfitting the training data. Raciness is often associated with the concept of "underfitting" in machine learning, where a model performs well on the training set
