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Step 19    Double-click the Data Table widget to view the detailed feature representations of the images.
                          Each image is now represented by numerical vectors, which can be used for training Machine Learning

                          models.
























               Step 20    Click the Close button to close the Data Table dialog box.



               Stage 4   Modelling
              In this stage, a Machine Learning model is created using the processed dataset. The features extracted during Data
              Exploration (from the Image Embedding widget) are used for training the model. The steps to build model are
              as follows:
               Step 21    Drag and drop the Test and Score widget onto the canvas.
               Step 22    Connect the Image Embedding widget (or Data Table from the previous step) to the Test and Score

                          widget.
               Step 23    Drag and drop widgets for the following classification algorithms:

                             • Logistic Regression
                             • Random Forest
                             • Support Vector Machine (SVM)
               Step 24    Connect these algorithm widgets to the Test and Score widget.



























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