Description

run_model_on_task has an option to avoid running experiments that already exist on OpenML, called avoid_duplicate_runs. This, however, requires an API key. It is currently the default, meaning that people can't try out this function without setting their API key.
This creates an unnecessary obstacle, especially for beginners who don't know that the avoid_duplicate_runs option can be switched off.

Steps/Code to Reproduce

from sklearn import ensemble
from openml import tasks, runs

clf = ensemble.RandomForestClassifier()
task = tasks.get_task(3954)
run = runs.run_model_on_task(clf, task)

Expected Results

The model should just run. The user may have no intention to upload the run to OpenML later.

Actual Results

An API key error is thrown

Versions

Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
Python 3.7.13 (default, Apr 24 2022, 01:04:09)
[GCC 7.5.0]
NumPy 1.21.6
SciPy 1.4.1
Scikit-Learn 1.0.2
OpenML 0.12.2