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Now that we have trained our model, we can use our validation set to see how well our model is doing. We can do this by first of making predictions using the Score Model module and then using the Evaluate Model module to get our accuracy and loss metrics. To make predictions on the validation set we connect the trained model to the left input of the Score Model Module and the right output node of the Split data module to the right input of the Score Model Module. When visualizing the output we can see that we have two new columns. The Scored Labels column contains the labels represented by integers of either 0 or 1.