célváltozóból

A "célváltozóból" is a Hungarian term that translates to "from the target variable" or "from the objective variable" in English. It is commonly used in the context of machine learning and statistical modeling. When building a predictive model, the goal is to learn a relationship between input features and a specific output, which is referred to as the target variable or célváltozó. The phrase "célváltozóból" implies that the process or analysis is derived from, based on, or extracted from this target variable.

In practice, this could refer to several aspects of model development. For instance, one might be extracting features or creating new ones that are directly related to the target variable, in an attempt to better capture its underlying patterns. Alternatively, it could describe a situation where the model's performance is evaluated "célváltozóból," meaning the evaluation metrics are calculated based on how well the model predicts the actual target values.

The concept is fundamental to supervised learning, where the existence of a known target variable is what differentiates it from unsupervised learning. Understanding the célváltozó is paramount for defining the problem, selecting appropriate algorithms, and interpreting the results of a machine learning project. The direction of prediction is always towards understanding or replicating the célváltozó.