Possible update to make

[trevorcampbell]

From Hossein @ KU:

In the current version of the Python textbook, the code that computes RMSPE (using the Sacramento test data) is currently written as:

RMSPE = mean_squared_error(
    sacramento_test["price"],
    sacramento_test["predicted"]
) ** (1/2)

In recent versions of scikit‑learn (v1.4+), a dedicated function
root_mean_squared_error is available. See below. (Also the "squared=False" option is being deprecated). Using the new function avoids manual square‑rooting and future warnings:

from sklearn.metrics import root_mean_squared_error

RMSPE = root_mean_squared_error(
    sacramento_test["price"],
    sacramento_test["predicted"]
)