- Logistic Regression
Logistic regression example using scikit-learn.
We'll cover the following
Logistic regression is a supervised classification algorithm that is useful for predicting which users are likely to perform an action, such as purchasing a product. Using scikit-learn, the process is similar to fitting a linear regression model.
Example
The main differences from the prior script are the dataset being used, the model object instantiated (LogisticRegression
), and the predict_proba
function used to calculate error metrics.
. This function predicts a probability in the continuous range of rather than a specific label.
The snippet below predicts which users are likely to purchase a specific game based on prior games already purchased:
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