Incorrect parameter for baseline regression pipeline in AutoMLSearch

[angela97lin]

Right now, _get_baseline_pipeline sets the parameter for a baseline classifier component in a baseline regression pipeline. This is incorrect!

        elif self.problem_type == ProblemTypes.REGRESSION:
            baseline = RegressionPipeline(
                component_graph=["Baseline Regressor"],
                custom_name="Mean Baseline Regression Pipeline",
                parameters={"Baseline Classifier": {"strategy": "mean"}},
            )

This PR updates this to "Baseline Regressor".

[codecov]

Codecov Report

Merging #2847 (c9345ac) into main (601f43a) will increase coverage by 0.1%.
The diff coverage is 100.0%.

@@           Coverage Diff           @@
##            main   #2847     +/-   ##
=======================================
+ Coverage   99.8%   99.8%   +0.1%     
=======================================
  Files        302     302             
  Lines      28128   28148     +20     
=======================================
+ Hits       28050   28070     +20     
  Misses        78      78             

Impacted Files	Coverage Δ
evalml/automl/automl_search.py	99.9% <ø> (ø)
evalml/tests/automl_tests/test_automl.py	99.7% <100.0%> (+0.1%)	⬆️

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 601f43a...c9345ac. Read the comment docs.

[eccabay]

Nice! I had noticed the same issue, but you beat me to it! 😂

[jeremyliweishih]

looks great!

[jeremyliweishih]

😮