What is k-fold cross-validation, and how does it work? A k-fold cross-validation is an approach using which one can estimate the performance of a machine learning model. In k-fold cross-validation, the dataset is divided into k parts called k folds. Then, the (k-1)...
What is polynomial regression? In linear regression, we consider a linear relationship between the target and the predictor variables. But sometimes the target variable does not have a linear relationship with the predictor variables or the features. For example,...
We can use the Extra Trees to get the feature importances of various features of a dataset. These feature importances are impurity-based feature importances. Please note that impurity-based feature importances are strongly biased. They favor numerical features over...
What is linear regression? Linear regression tries to find a linear relationship between the predictor variables or the features and the target variable. The target variable is the dependent variable here and the features or the predictor variables are the independent...
What is linear regression? Linear regression tries to find a linear relationship between the predictor variables or the features and the target variable. The target variable is the dependent variable here and the features or the predictor variables are the independent...
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