Four Numbers, Same Misses

10 pts · 10 coins

Machine Learning in CodeEasy

A delivery app predicted how many minutes some orders would take (guess). You also know how long they really took (truth).

Write error_report(truth, guess). Return a dict with four entries:

Use the functions from sklearn.metrics, with truth first. Round every value to 3 decimal places and return plain Python floats.

truth = [10.0, 12.0, 14.0, 16.0]

guess = [11.0, 11.0, 15.0, 20.0]

returns {'mae': 1.75, 'mse': 4.75, 'rmse': 2.179, 'r2': 0.05}

truth = [25, 30, 35, 40, 45]

guess = [27, 29, 36, 38, 47]

returns {'mae': 1.6, 'mse': 2.8, 'rmse': 1.673, 'r2': 0.944}

solution.py

1import numpy as np
2from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
3
4
5def error_report(truth, guess):
6    pass
7