This code builds a Random Forest Classifier using the Scikit-Learn library.
This is a supervised Machine learning algorithm. It creates a set of decision trees from a randomly selected subset of the training set, based on which it will reach a final prediction.
We use the Breast Cancer Wisconsin Diagnostic Data Set to train and test the model that classifies whether a tumor with certain characteristics is a malignant or a benign tumor