True or false: Logistic regression is a predictive data mining model.

• A. True
• B. False
• C. Partially Predictive
• D. Not a Data Mining Model

Answer: (A)

Logistic regression is a predictive modeling technique used for classification. In data mining, predictive models are built to forecast outcomes for new data, not just describe existing patterns. Logistic regression does this by estimating the probability of a binary outcome from input features: it computes a linear combination of the features, passes it through the logistic function to produce a probability between 0 and 1, and then assigns a class (often via a threshold). This ability to predict outcomes and quantify uncertainty is what makes it a predictive data mining model. While it’s rooted in statistics, it’s a staple in data mining because it turns data into actionable predictions.