Clean up docstring

pysr/sr.py

@@ -211,9 +211,9 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
         - `"accuracy"` selects the candidate model with the lowest loss
           (highest accuracy).
         - `"score"` selects the candidate model with the highest score.
-          Score is defined as the derivative of the log-loss with
+          Score is defined as the negated derivative of the log-loss with
           respect to complexity - if an expression has a much better
-          oss at a slightly higher complexity, it is preferred.
+          loss at a slightly higher complexity, it is preferred.
         - `"best"` selects the candidate model with the highest score
           among expressions with a loss better than at least 1.5x the
           most accurate model.