1. Calculate the Model Precision and Recall Write a function from scratch called prec_recall_score() that accepts as input (in this exact order): a list of true labels a list of model predictions This function should compute and return both the model precision and recall (in that order). Do not use the built-in Scikit-Learn functions precision_score(),recall_score(), confusion_matrix(), or Panda's crosstab() to do this. Instead, you may use those functions after to verify your calculations. We want to ensure that you understand what is going on behind-the-scenes of the precision and recall functions by creating similar ones from scratch.

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