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the acc is calculated as: ACC = (TP + TN) / (TP + FP + FN + TN) ACC_macro = np.mean(ACC)
Which mean the if y_true = [0, 1, 2] y_predict = [0, 0, 0]
the accuracy for class 0 is 33.3% the accuracy for class 1 is 66.6% the accuracy for class 2 is 66.6%
Could you please give some reference for the correctness of this calculation?
The text was updated successfully, but these errors were encountered:
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the acc is calculated as:
ACC = (TP + TN) / (TP + FP + FN + TN)
ACC_macro = np.mean(ACC)
Which mean the if
y_true = [0, 1, 2]
y_predict = [0, 0, 0]
the accuracy for class 0 is 33.3%
the accuracy for class 1 is 66.6%
the accuracy for class 2 is 66.6%
Could you please give some reference for the correctness of this calculation?
The text was updated successfully, but these errors were encountered: