How to rank feature with importance in R – Feature selection in R
Feature selection is an important step in the data analysis process, it helps to identify the most important features in a dataset and improve the performance of the model. There are many ways to rank feature importance in R, one of the most popular methods is using the feature_select() function from the caret package.
The feature_select() function uses various techniques like Random Forest, Boruta, Lasso, and Recursive Feature Elimination (RFE) to rank the features by importance. The function returns a list of features, ranked from most important to least important.
Another popular method is using the Boruta package, which is an all-relevant feature selection method. It uses random forest to rank the features by importance and also uses permutation importance for feature selection.
A third approach is using the RFE() function from the caret package, which uses recursive feature elimination technique to rank the features by importance. The RFE() function takes the model and dataset as input and returns the feature importance.
In summary, Feature selection is an important step in the data analysis process, it helps to identify the most important features in a dataset and improve the performance of the model. There are many ways to rank feature importance in R, one of the most popular methods is using the feature_select() function from the caret package, another popular method is using the Boruta package, and third approach is using the RFE() function from the caret package. These functions uses different techniques like Random Forest, Boruta, Lasso, and Recursive Feature Elimination (RFE) to rank the features by importance. The function returns a list of features, ranked from most important to least important.
In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: How to rank feature with importance in R – Feature selection in R.
How to rank feature with importance in R – Feature selection in R
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