In this project, you will apply k-nearest neighbors, decision tree, random forest and bagging on the tumor prediction data set. The data set contains information about patient measurements. The output

In this project, you will apply k-nearest neighbors, decision tree, random forest and bagging on the tumor prediction data set. The data set contains information about patient measurements. The output label is either 'M' for malignant tumor or 'B' for benign tumor. coded in python 3...already has code in my python notebook just need adjusting to work..must use python juypter