kohdeetiketeistä
Kohdeetiketeistä, also known as target labels or target tagging, refers to the process of assigning specific labels or categories to individual data points or instances within a dataset. This is a fundamental step in supervised machine learning, where the goal is to train a model to predict these labels for new, unseen data. The accuracy and relevance of these labels are crucial for the performance of the learning algorithm.
The process of creating kohdeetikettejä can vary depending on the type of data and the problem being
Creating high-quality kohdeetikettejä typically requires human annotators who possess domain expertise or are trained in specific