Breast Cancer Detection in the IOT Health Environment Using Modified Recursive Feature Selection

Algorithm 1

Modified recursive feature elimination.

	Begin
(1)	Train SVM model on the training dataset
(2)	Computes the performance metrics values such as accuracy, specificity, sensitivity, F1-score
(3)	Determine which feature is the least important in making the prediction on the testing dataset and eliminate this feature from the feature set.
(4)	The model has now reduced its feature by step 1
(5)	Select the feature set which gives the highest or lowest scoring metric.
(6)	Finish