step checking the performance by decoding random set of numbersthis step can be used to check the performance by decoding the random set of numbers following python code can be written to do the samedecoding set of values encoded_values [ , , , decoded_list encoder inverse_transform(encoded_valuesprint("\nencoded values ="encoded_valuesnowencoded values would get printed as followsencoded values [ print("\ndecoded labels ="list(decoded_list)nowdecoded values would get printed as followsdecoded labels ['white''black''yellow''green'labeled / unlabeled data unlabeled data mainly consists of the samples of natural or human-created object that can easily be obtained from the world they includeaudiovideophotosnews articlesetc on the other handlabeled data takes set of unlabeled data and augments each piece of that unlabeled data with some tag or label or class that is meaningful for exampleif we have photo then the label can be put based on the content of the photoi it is photo of boy or girl or animal or anything else labeling the data needs human expertise or judgment about given piece of unlabeled data there are many scenarios where unlabeled data is plentiful and easily obtained but labeled data often requires human/expert to annotate semi-supervised learning attempts to combine labeled and unlabeled data to build better models