From Numbers to Names

A gardener has measured some iris flowers and wants species names, not numbers.

Task: write species_names(flowers).

• flowers is a list of flowers. Each is a list of 4 numbers in the same order as the iris columns: sepal length, sepal width, petal length, petal width.
• Load iris with load_iris(as_frame=True) and split iris.data and iris.target with train_test_split(..., test_size=0.25, random_state=0).
• Train a KNeighborsClassifier(n_neighbors=5) on the training rows.
• Predict each flower and return the species names as a list of strings, in the same order as flowers.
• Put the flowers in a DataFrame with the same column names as the iris data, so scikit-learn doesn't warn about missing names.