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• Underfitting: Underfitting is a common problem in machine learning where a model is too simple to capture the underlying patterns in the data. This occurs when the model is not complex enough to fit the training data, resulting in poor performance on bot ... Read More >>
• Logistic Function: In the context of Data Science, a Logistic Function, also known as the logistic sigmoid function, is a mathematical function used in various forms of logistic regression models. It is an essential component in the field of machine learning, ... Read More >>
• Median: In statistics, the median is the value separating the higher half from the lower half of a data sample. It is a measure of central tendency and is often used as a robust alternative to the mean. The median is calculated by sorting the data ... Read More >>