Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - The Major Steps in Predictive Modeling

The video tutorial covers the three major steps in predictive modeling: algorithm selection, training, and prediction. It begins with choosing the right algorithm based on whether the data is supervised or unsupervised, and whether the dependent variable is continuous or categorical. The tutorial then explains the training process, where the model learns associations between predictor and response variables using historical data. Finally, it discusses prediction, where the model estimates outcomes for new data using the learned rules.

Explain the training process in predictive modeling as described in the text.

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What is the final major step in the predictive modeling process, and what does it involve?

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