Can training accuracy be less than test accuracy?

Can training accuracy be less than test accuracy?

2 Answers. Test accuracy should not be higher than train since the model is optimized for the latter. you did not use the same source dataset for test. You should do a proper train/test split in which both of them have the same underlying distribution.

Can validation accuracy be more than training?

The validation accuracy is greater than training accuracy. This means that the model has generalized fine. If you don’t split your training data properly, your results can result in confusion. so you either have to reevaluate your data splitting method by adding more data, or changing your performance metric.

Why is my Train score higher than my Test score?

Once you find a good value using this cross-validation set, then try again with your test set, and you should see that the test result is better. The error during training will actually be worse . . . but usually that’s a good sign that you are getting a model that generalises well, when training, c.v. and test errors are similar.

Is it normal to have high training and low test scores?

This is a normal symptom of over-fitting and is not the least bit strange. Errors normally get worse between training and test, but your dramatic shift from 100% accuracy on training to 40% accuracy on test is a large gap.

Which is better, training accuracy or test accuracy?

Imagine if you’re using 99% of the data to train, and 1% for test, then obviously testing set accuracy will be better than the testing set, 99 times out of 100. The solution here is to use 50% of the data to train on, and 50% to evaluate the model. Accuracy on the training set might be noise, depending on which ML algorithm you are using.

Is the error during training worse than during test?

The error during training will actually be worse . . . but usually that’s a good sign that you are getting a model that generalises well, when training, c.v. and test errors are similar. i was wondering the same thing – do they have a special algorithm to calculate test scores?