In general, most of the classification type datasets will have highly skewed or biased data. That is, there will be a majority class and a minority class. This is generally is called imbalanced ...

#It is possible to use Oversampling to increase the significance of the results of the decision tree model at the leaf nodes.

# This is the yml file that creates the conda environment for Physical Oversampling in python # First, it is recommended to update your conda with "conda update -n base -c defaults conda" # Read ...