Load libraries
Read data:
Separate features and target
Recursive Feature Elimination Script
Second Example:
Load Libraries
Read Data:
Containing 8 features and one target variables
Separate features and target
Split the data into training and test datasets
Recursive Feature Elimination Using SVC
Features have been reduced to 7 out of 8 features. Insulin feature is removed
Convert final features list into a data frame and display
Accuracy of the model containing reduced features
accuracy works out to 82.6%