evaluation_tools.py 文件源码

def performance_measure(reference_set,experimental_set,measure='jaccard_index'):
    VP = (vq(experimental_set,reference_set)[1]==0).sum()
    FP = (vq(experimental_set,reference_set)[1]>0).sum()
    FN = (vq(reference_set,experimental_set)[1]>0).sum()

    if measure == 'true_positive':
        return VP
    elif measure == 'precision':
        return VP/float(VP+FP) 
    elif measure == 'recall':
        return VP/float(VP+FN) 
    elif measure == 'dice_index':
        return 2*VP / float(2*VP+FP+FN)
    elif measure == 'jaccard_index':
        return VP/float(VP+FP+FN)