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In machine learning, the Logistic Regression algorithm is used for classification problems. It provides an output that we can interpret as a probability that a new observation belongs to a certain class. Generally, logistic regression is used to classify binary classes but works on multiple and ordinal classes too.
Logistic regression estimates a continuous quantity which is the probability that an event occurs. This probability is compared with a certain threshold that allow taking the decision about the classification of the new data.
