Operation of Automated Analytic:
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The different types of variables: continuous, ordinal and nominal are next encoded by the data encoding feature of Modeler, or by the Event Logging and Sequence Coding features in the case of dynamic dat
a. Before generating the model, you must:
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You can then generate models, capable of either explaining and predicting a
phenomenon, or describing a dataset, in both cases, as a function of the previously
defined target variable. This phase is called the training phase. Once the models
have been generated, you can view and interpret their relevance and robustness
using:
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Automated Analytics supports the following data sources:
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The Periodic with testing at the end strategy distributes:
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