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==Introduction== | |||
Machine learning takes into account features, which are quantifiable aspects or characteristics of a data point that are used to build predictive models. These elements, also referred to as predictors or independent variables, are selected based on their capacity for explaining variations in the dependent variable - that is, the target variable that the model seeks to predict. | Machine learning takes into account features, which are quantifiable aspects or characteristics of a data point that are used to build predictive models. These elements, also referred to as predictors or independent variables, are selected based on their capacity for explaining variations in the dependent variable - that is, the target variable that the model seeks to predict. | ||