change to log message and log level in feature scoring (#318)

fixes #261

columns with the same value for all entries don't matter for feature scoring, so they can be ignored.

ema_workbench/analysis/feature_scoring.py

@@ -66,9 +66,7 @@ def _prepare_experiments(experiments):
     for column in x_nominal_columns:
         if np.unique(x[column]).shape == (1,):
             x = x.drop(column, axis=1)
-            _logger.info(
-                ("{} dropped from analysis " "because only a single category").format(column)
-            )
+            _logger.debug(f"{column} dropped from analysis because it has only a single category")
         else:
             x[column] = x[column].astype("category").cat.codes