Terminologies Used in Regression Analysis | Intellipaat
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Dependent Variable: The main factor in Regression analysis that we want to predict or understand is referred to as the dependent variable. It is also known as the target variable.
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Independent Variable: Independent variables, also known as predictors, are factors that influence the dependent variables or are used to predict the values of the dependent variables.
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Outliers: An outlier is a value that is either very low or very high in comparison to other observed values. An outlier can skew the outcome, so it should be avoided.
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Multicollinearity: Multicollinearity occurs when the independent variables are more highly correlated with each other than with other variables. It should not be included in the dataset because it causes issues when ranking the most influential variable.
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Underfitting and Overfitting: Overfitting occurs when our algorithm performs well on the training dataset but not on the test dataset. If our algorithm does not perform well even with a training dataset, this is referred to as underfitting.
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