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I have a dataset that has the ML model predictions along with the true labels column of the predictions and all the features used for the predictions and I want to make an analysis of how the model used these features for prediction without using any ML libraries.
essentially some plots, tables, stats anything related... Also, I'm using a BI tool for this, and don't know if this is even possible because I have limited functionalities.
I'm looking for ideas or if someone has faced some kind of thing before please let me know how to approach this.
Data: tabular, features are integers, prediction scores are floats, true label is integer and the problem is Classification (binary)
Thank you for your time!

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