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• Data Allocation: Data allocation refers to the process of assigning data to specific storage locations in a computer system. In data science, data allocation is an important aspect of data management, as it determines how data is stored and accessed. The go ... Read More >>
• Hyperparameter: In the context of machine learning, hyperparameters are parameters that are not learned from data but are set prior to training. They are used to control the learning process and affect the performance of the model. Examples of hyperparamet ... Read More >>
• Classification Threshold: Classification threshold is a value that separates the positive and negative classes in a binary classification problem. It is used to determine the probability threshold above which an observation is classified as positive and below which ... Read More >>