Pseudo Labeling

Pseudo Labeling 이란 ?

- Test Data 에 대하여 Predict한 Label 값을 이용하여 Re-Train 하여 성능을 높히는 Semi-supervised Learning 의 한 방법

단계

1. Build a model using training data.
2. Predict labels for an unseen test dataset.
3. Add confident predicted test observations to our training data
4. Build a new model using combined data.
5. Use your new model to predict the test data

출처 : https://datawhatnow.com/pseudo-labeling-semi-supervised-learning/