The Python function `sklearn.linear_model.logistic.LogisticRegression.predict_proba` is used to predict the probability estimates of the target variables in a binary classification problem. It takes input features and returns estimated probabilities of the classes. The function uses the logistic regression model implemented in the scikit-learn library and is based on the logistic function that maps a continuous input to a value between 0 and 1. These probabilities can be used to make informed decisions based on the likelihood of a particular class or to evaluate the confidence of the classification predictions.
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