diff --git a/crowdkit/aggregation/classification/mace.py b/crowdkit/aggregation/classification/mace.py
index 0d6c1cb..193518d 100644
--- a/crowdkit/aggregation/classification/mace.py
+++ b/crowdkit/aggregation/classification/mace.py
@@ -313,7 +313,9 @@ def _initialize(self, n_workers: int, n_labels: int) -> None:
             self.theta_priors_[:, 0] = self.alpha
             self.theta_priors_[:, 1] = self.beta
 
-            self.strategy_priors_ = np.ones((n_workers, n_labels)) * 10.0
+            self.strategy_priors_ = np.multiply(
+                10.0, np.ones((n_workers, n_labels)), dtype=np.float64
+            )
 
     def _e_step(
         self,
diff --git a/crowdkit/aggregation/image_segmentation/segmentation_rasa.py b/crowdkit/aggregation/image_segmentation/segmentation_rasa.py
index 5ea4b0a..8ee83b1 100644
--- a/crowdkit/aggregation/image_segmentation/segmentation_rasa.py
+++ b/crowdkit/aggregation/image_segmentation/segmentation_rasa.py
@@ -105,7 +105,7 @@ def _aggregate_one(self, segmentations: "pd.Series[Any]") -> npt.NDArray[Any]:
         for _ in range(self.n_iter):
             weighted = self._segmentation_weighted(segmentations_np, weights)
             mv = weighted >= 0.5
-            weights = self._calculate_weights(segmentations_np, mv)
+            weights = self._calculate_weights(segmentations_np, mv)  # type: ignore[assignment,unused-ignore]
 
             if last_aggregated is not None:
                 delta = weighted - last_aggregated
diff --git a/crowdkit/aggregation/utils.py b/crowdkit/aggregation/utils.py
index 358c16a..7c706c0 100644
--- a/crowdkit/aggregation/utils.py
+++ b/crowdkit/aggregation/utils.py
@@ -191,7 +191,7 @@ def converter(series: "pd.Series[Any]") -> "pd.Series[Any]":
         series.name = name
         return series
 
-    return attr.ib(init=False, converter=converter, on_setattr=attr.setters.convert)  # type: ignore[no-any-return]
+    return attr.ib(init=False, converter=converter, on_setattr=attr.setters.convert)
 
 
 def add_skills_to_data(
diff --git a/crowdkit/metrics/data/_classification.py b/crowdkit/metrics/data/_classification.py
index 4afece2..b66d15d 100644
--- a/crowdkit/metrics/data/_classification.py
+++ b/crowdkit/metrics/data/_classification.py
@@ -4,7 +4,7 @@
     "alpha_krippendorff",
 ]
 
-from typing import Any, Callable, Hashable, List, Optional, Tuple, Union, cast
+from typing import Any, Callable, Hashable, List, Optional, Union, cast
 
 import numpy as np
 import pandas as pd
@@ -266,7 +266,5 @@ def alpha_krippendorff(
         0.4444444444444444
     """
     _check_answers(answers)
-    data: List[Tuple[Any, Hashable, Hashable]] = answers[
-        ["worker", "task", "label"]
-    ].values.tolist()
+    data = answers[["worker", "task", "label"]].values.tolist()
     return float(AnnotationTask(data, distance).alpha())