Hi, My name is Sunny Solanki and in this video, I have explained how to interpret predictions of ML models using Python library "lime". The tutorial is good starting point for someone new to model interpretability. In the tutorial, I train a simple random forest classifier from scikit-learn on tabular data and then explain the prediction made by the model by plotting feature contribution charts. It is different from global feature importance as we have different values for different examples.

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