Precision and Recall Function | Dataford Interview Questions

Write a function to calculate the precision and recall of a model given a set of predictions and labels.

Implement calculate_precision_recall(predictions, labels), where both inputs are equal-length arrays containing binary values, 0 or 1. Return a dictionary with precision and recall as floating-point values. If a metric's denominator is zero, return 0.0 for that metric.

Constraints

0 <= len(predictions) = len(labels) <= 1000
Every value in predictions and labels is either 0 or 1
Return 0.0 when a metric's denominator is zero

Function Signature

def calculate_precision_recall(predictions, labels):

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Problem

Write a function to calculate the precision and recall of a model given a set of predictions and labels.

Constraints

0 <= len(predictions) = len(labels) <= 1000
Every value in predictions and labels is either 0 or 1
Return 0.0 when a metric's denominator is zero

Function Signature

def calculate_precision_recall(predictions, labels):

Your question is Precision and Recall Function. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.