from sklearn.preprocessing import OneHotEncoder


feature_names = ["city", "plan"]
training_rows = [
    ["Paris", "free"],
    ["Tokyo", "paid"],
    ["Paris", "paid"],
    ["London", "free"],
]
new_rows = [["Berlin", "paid"]]