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Predictive modeling

Dataconomy

Predictive modeling is a mathematical process that focuses on utilizing historical and current data to predict future outcomes. By identifying patterns within the data, it helps organizations anticipate trends or events, making it a vital component of predictive analytics.

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Five machine learning types to know

IBM Journey to AI blog

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. Naïve Bayes classifiers —enable classification tasks for large datasets.