def precision()

in src/smclarify/bias/metrics/basic_stats.py [0:0]

• 3 lines of code
• 1 McCabe index (conditional complexity)

def precision(TP: int, FP: int) -> float:
    r"""
    Proportion of inputs with positive predicted label that actually have a positive observed label.

    :param: TP Counts of labels which were correctly predicted positive
    :param: FP Counts of labels which were incorrectly predicted positive
    :return: Proportion of inputs with positive predicted label that actually have a positive observed label.
    """
    return divide(TP, TP + FP)