Kohdemuuttuja
Kohdemuuttuja, often translated as target variable or dependent variable, is a fundamental concept in statistics and machine learning. It represents the outcome or the value that a model aims to predict or explain. In supervised learning, the goal is to build a model that can accurately estimate the kohdemuuttuja based on a set of input variables, also known as predictor variables or independent variables.
The nature of the kohdemuuttuja dictates the type of machine learning problem. If the kohdemuuttuja is continuous,
Understanding and correctly identifying the kohdemuuttuja is the crucial first step in any predictive modeling task.