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View Code? Open in Web Editor NEWMetrics for measuring our multilabel model
License: GNU General Public License v3.0
Metrics for measuring our multilabel model
License: GNU General Public License v3.0
please help commit the AUC_macro and AUC_micro
作者,您好,非常感谢您的工作,我个人觉得one-error那个度量好像有一些问题,应该使用argmax吧。ps:个人看法,说错了请见谅,还望不吝赐教。
The function multilabelConfussionMatrix
in multilabelMetrics/functions.py
is not right, (may be spelling error)
The correct version should be
def multilabelConfussionMatrix(y_test, predictions):
"""
Returns the TP, FP, TN, FN
"""
TP = np.zeros(y_test.shape[1])
FP = np.zeros(y_test.shape[1])
TN = np.zeros(y_test.shape[1])
FN = np.zeros(y_test.shape[1])
for j in range(y_test.shape[1]):
TPaux = 0
FPaux = 0
TNaux = 0
FNaux = 0
for i in range(y_test.shape[0]):
if int(y_test[i,j]) == 1:
if int(y_test[i,j]) == 1 and int(predictions[i,j]) == 1:
TPaux += 1
else:
FNaux += 1
else:
if int(y_test[i,j]) == 0 and int(predictions[i,j]) == 0:
TNaux += 1
else:
FPaux += 1
TP[j] = TPaux
FP[j] = FPaux
TN[j] = TNaux
FN[j] = FNaux
return TP, FP, TN, FN
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