如何在 python 中找到已经训练和保存的 model 的 f1 分数

Question

Suppose I have a model which I have already trained and saved(using python). Now if I want to get the f1 score of that model then how to do it using python? Anyone who khows this please help.

Answer 1

y_true is the result list you already have and testing your model against.

y_pred is the list predicted by your model.

from sklearn.metrics import f1_score
y_true = [0, 1, 2, 0, 1, 2]
y_pred = [0, 2, 1, 0, 0, 1]

f1_score(y_true, y_pred, average='macro')
0.26
f1_score(y_true, y_pred, average='micro')
0.33
f1_score(y_true, y_pred, average='weighted')
0.26
f1_score(y_true, y_pred, average=None)
array([0.8, 0. , 0. ])

You can mark it solved, If it works.