The Fruit Stall

A fruit stall keeps a small table of labelled fruit. The owner wants a model, an honest score for it, and answers for today's new fruit.

Task: write stall_model(table, new_rows, seed).

• table is a dict mapping column names to lists. Its "fruit" column is the label. Every other column is a feature.
• new_rows is a dict with the same feature columns in the same order, and no "fruit" column.
• Split the features and labels with train_test_split(X, y, test_size=0.25, random_state=seed, stratify=y).
• Train a KNeighborsClassifier(n_neighbors=3) on the training rows.
• Return [test score rounded to 2 decimal places, list of predictions for new_rows].