célváltozóra

A "célváltozóra" is a Hungarian term that translates to "target variable" in English. In the context of statistics and machine learning, a target variable is the outcome or dependent variable that a model aims to predict. It is the value that the analysis is designed to explain or forecast.

When building a predictive model, researchers and data scientists identify a set of independent variables or features that are believed to influence the target variable. The goal is to establish a relationship between these independent variables and the target variable, allowing for predictions to be made on new, unseen data.

For example, in a sales forecasting model, the target variable might be the amount of revenue generated. The independent variables could include factors such as advertising spend, competitor pricing, and seasonal trends. The model would then learn from historical data to predict future revenue based on these influencing factors.

Similarly, in medical research, the target variable could be the presence or absence of a disease, while independent variables might include patient demographics, lifestyle choices, and genetic predispositions.

The choice of an appropriate target variable is crucial for the success of any predictive modeling endeavor. It must be clearly defined, measurable, and relevant to the problem being addressed. The accuracy of the model's predictions is directly dependent on the quality of the data used to train it and the model's ability to capture the underlying relationship with the target variable.