不支持未知- f1分数

Question

我想用32个预测的蒙版图像和32个真实的蒙版图像做f1评分。我的数据有以下特点：

predicted.shape [32,512,512]         

true.shape [32,512,512]

type_of_target(predicted) Unknown      

type_of_target(true) Unknown

type_of_target(predicted[0]) Continuous-multioutput   

type_of_target(true[0]) Continuous-multioutput

当我运行这一行f1_score(true，predicted，average='macro')时，我得到这个错误：

f1_score(true, predicted, average='macro')
Traceback (most recent call last):

  File "<ipython-input-75-7198c91642b6>", line 1, in <module>
    f1_score(true, predicted, average='macro')

  File "C:\Anaconda3\lib\site-packages\sklearn\metrics\_classification.py", line 1099, in f1_score
    zero_division=zero_division)

  File "C:\Anaconda3\lib\site-packages\sklearn\metrics\_classification.py", line 1226, in fbeta_score
    zero_division=zero_division)

  File "C:\Anaconda3\lib\site-packages\sklearn\metrics\_classification.py", line 1484, in precision_recall_fscore_support
    pos_label)

  File "C:\Anaconda3\lib\site-packages\sklearn\metrics\_classification.py", line 1301, in _check_set_wise_labels
    y_type, y_true, y_pred = _check_targets(y_true, y_pred)

  File "C:\Anaconda3\lib\site-packages\sklearn\metrics\_classification.py", line 97, in _check_targets
    raise ValueError("{0} is not supported".format(y_type))

ValueError: unknown is not supported

Answer 1

F1-Score是精确度和召回率的调和平均值。当预测值是分类的而不是连续的输出时，计算精度和召回率。您需要将预测转换为分类预测(通过向上舍入或向下舍入)，然后展平数组，因为f1_score函数只接受一维数组作为输入参数。

Answer 2

我认为F1输入应该是一维数组(标签)。请确保这一点。