The IBM SPSS Modeler - Predictive Modeling for Categorical Targets training course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Attendees are introduced to decision trees such as CHAID and C&R Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks. Attendees will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.
- Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and a basic knowledge of modeling.
- Attend IBM SPSS Modeler - Data Science course or have equivalent experience.
- This IBM SPSS Modeler - Predictive Modeling for Categorical Targets workshop is ideal for: Analytics business users who want to become familiar with analytical models to predict a categorical field (yes/no churn, yes/no fraud, yes/no response to a mailing, pass/fail exams, yes/no machine break-down, and so forth).