For this lab, you will be using the CSV files provided in the files_for_lab
folder.
- Apply the Random Forests algorithm but this time only by upscaling the data.
- Discuss the output and its impact in the bussiness scenario. Is the cost of a false positive equals to the cost of the false negative?
- Sklearn classification models are trained to maximize the accuracy. However, another error metric will be more relevant here. Please checkout make_scorer alogside with GridSearchCV in order to train the model to maximize the error metrics of interest in this case.