Logistic regression is a supervised machine learning algorithm developed for learning classification problems. A classification learning problem is when the target variable is categorical. The goal of logistic regression is to map a function from the features of the dataset to the targets to predict the probability that a new example belongs to one of the target classes. Figure 20-1 is an example of a dataset with categorical targets.
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© 2019 Ekaba Bisong
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Bisong, E. (2019). Logistic Regression. In: Building Machine Learning and Deep Learning Models on Google Cloud Platform. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4470-8_20
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4469-2
Online ISBN: 978-1-4842-4470-8