Improving Machine Learning Interpretability

Knime has introduced new features in the latest release to improve the Interpretability of the Machine Learning models. One such node is the Binary Classification Inspector. This node let's you visually explore the performance metrics and also provides an easy way to change probability thresholds and see how the performance metrics change as you change the cutoffs. Here is my quick overview of the node and how to use it.
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