Using Counterfactual Instances for XAI
The biggest shortcoming of many machine learning models and neural networks is their "blackbox" nature. Which feature was most influential in this predicted output that we got for an instance? XAI which stands for Explainable Artificial Intelligence is the area of study that tries to tackle this blackbox issue of models.
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