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What is Understanding Logistic Regression Basics about?

Logistic regression is a machine learning technique used for classification problems. It predicts the probability of an output belonging to a particular class based on input features. The model is trained using an iterative process called gradient descent which minimizes the loss function to find the optimal parameters. Model performance is evaluated using metrics like accuracy, precision, recall from a confusion matrix which compares actual and predicted classifications.

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prime9316586191

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EN