6.9 Predictive Modeling and Causality

6.9 Predictive Modeling and Causality

Predictive modeling uses data to predict future outcomes. Machine learning models analyze past data patterns. These patterns help estimate what may happen next. Predictive models are used in many fields. They support planning and decision making. Predictions are based on probability. They do not always explain reasons. Understanding causality is also important. Both concepts are used together in analysis.

CLASS ACTIVITY

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Give examples like weather prediction. Ask students whether prediction explains the cause. Discuss the difference.