Feature extraction and suitable machine learning model

  • When dealing with large datasets with high dimensionality (a large amount of columns and variables), feature extraction is important to further divide and reduce the existing data into a manageable group.
  • It involves getting the features that the researchers deemed suitable and combining them while retaining the originality of the data