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K-Means Clustering, Logistic Regression, Decision Tree, and Time Series Analysis support the preservation of the experiment as a training model. After successful operation, the experimental model can be saved as a training model. The saved training model can be viewed under the training model catalog, and can also be applied to the dashboard of the production report module.

Click to expand the training model catalog, double-click a training model, or click the "Open Model" option in the More menu to view the model's related information, including the fields used in the model, the model's specific parameters, related experiments, and the model's Training situation, as shown below.