Testing accuracy

[baselmousi]

How can we find the testing accuracy?
I ran the following code
y_pred, y_test = predict('/content/gdrive/My Drive/Car-Recognition/data/test', model)
acc = calc_acc(y_pred, y_test)
print("%s: %.2f%%" % ('acc', acc * 100))
where I stored my test data at '/content/gdrive/My Drive/Car-Recognition/data/test' but I got the following error
ValueError Traceback (most recent call last)
in ()
9
10
---> 11 y_pred, y_test = predict('/content/gdrive/My Drive/Car-Recognition/data/test', model)
12 acc = calc_acc(y_pred, y_test)
13 print("%s: %.2f%%" % ('acc', acc * 100))

in predict(img_dir, model)
19 y_pred.append(pred_label)
20 tokens = img_path.split(os.path.sep)
---> 21 class_id = int(tokens[-2])
22 # print(str(class_id))
23 y_test.append(class_id)

ValueError: invalid literal for int() with base 10: 'test'

[Lin-plax]

How can we find the testing accuracy?
I ran the following code
y_pred, y_test = predict('/content/gdrive/My Drive/Car-Recognition/data/test', model)
acc = calc_acc(y_pred, y_test)
print("%s: %.2f%%" % ('acc', acc * 100))
where I stored my test data at '/content/gdrive/My Drive/Car-Recognition/data/test' but I got the following error
ValueError Traceback (most recent call last)
in ()
9
10
---> 11 y_pred, y_test = predict('/content/gdrive/My Drive/Car-Recognition/data/test', model)
12 acc = calc_acc(y_pred, y_test)
13 print("%s: %.2f%%" % ('acc', acc * 100))

in predict(img_dir, model)
19 y_pred.append(pred_label)
20 tokens = img_path.split(os.path.sep)
---> 21 class_id = int(tokens[-2])
22 # print(str(class_id))
23 y_test.append(class_id)

ValueError: invalid literal for int() with base 10: 'test'

Can you run the train.py?

[Usman-Ghani123]

You can check test accuracy thorugh online evaluation. There is a link given on the github. Get Outlook for Android<https://aka.ms/ghei36>