how training accuracy and validation accuracy is calculated?

[Devanshice020]

evaluate on train data

train_accuracy = nn.evaluate(X_train, y_train) print("Train accuracy: ", "{0:.2f}%".format(train_accuracy * 100))

evaluate on validation data

validation_accuracy = nn.evaluate(X_valid, y_valid) print("Validation accuracy: ", "{0:.2f}%".format(validation_accuracy * 100))

how this works?? plz reply ASAP..

[hamuchiwa]

@Devanshice020 They are calculated in the same way, accuracy = true/(true + false). Check evaluate function for detail.