diff --git a/uncoverml/geoio.py b/uncoverml/geoio.py
index b7663f20..49b98646 100644
--- a/uncoverml/geoio.py
+++ b/uncoverml/geoio.py
@@ -403,7 +403,7 @@ def write(self, x, subchunk_index):
                     yend = self.sub_ends[subindex]  # this is Y
                     if node != 0:
                         data = np.zeros(shape=(self.shape[0], yend - ystart, self.shape[-1]), dtype=np.float32)
-                        mask = np.ones(shape=(self.shape[0], yend - ystart, self.shape[-1]), dtype=np.bool)
+                        mask = np.ones(shape=(self.shape[0], yend - ystart, self.shape[-1]), dtype=bool)
                         mpiops.comm.Recv(data, source=node, tag=1)
                         mpiops.comm.Recv(mask, source=node, tag=2)
                         data = np.ma.masked_array(data=data, mask=mask, dtype=np.float32, fill_value=self.nodata_value)
diff --git a/uncoverml/optimise/models.py b/uncoverml/optimise/models.py
index 377ec53d..0733f9ec 100644
--- a/uncoverml/optimise/models.py
+++ b/uncoverml/optimise/models.py
@@ -174,7 +174,7 @@ class TransformedForestRegressor(TransformPredictDistMixin,
     def __init__(self,
                  target_transform='identity',
                  n_estimators=10,
-                 criterion="mse",
+                 criterion='squared_error',
                  max_depth=None,
                  min_samples_split=2,
                  min_samples_leaf=1,
@@ -565,7 +565,6 @@ def __init__(
             reg_lambda: float = 0.,
             random_state: Optional[Union[int, np.random.RandomState]] = None,
             n_jobs: int = -1,
-            silent: Union[bool, str] = 'warn',
             importance_type: str = 'split',
             **kwargs
         ):
@@ -594,7 +593,6 @@ def __init__(
             reg_lambda=reg_lambda,
             random_state=random_state,
             n_jobs=n_jobs,
-            silent=silent,
             importance_type=importance_type,
             **kwargs
         )