diff --git a/dedupe/api.py b/dedupe/api.py
index e0932c2bd..cca694f97 100644
--- a/dedupe/api.py
+++ b/dedupe/api.py
@@ -15,7 +15,7 @@
 import tempfile
 
 import numpy
-import sklearn.linear_model
+import sklearn.ensemble
 import sklearn.model_selection
 
 import dedupe.core as core
@@ -1091,8 +1091,8 @@ def __init__(
             ]
         ]
         self.classifier = sklearn.model_selection.GridSearchCV(
-            estimator=sklearn.linear_model.LogisticRegression(),
-            param_grid={"C": [0.00001, 0.0001, 0.001, 0.01, 0.1, 1, 10]},
+            estimator=sklearn.ensemble.RandomForestClassifier(),
+            param_grid={"n_estimators": [100, 200, 400, 800]},
             scoring="f1",
             n_jobs=-1,
         )
diff --git a/dedupe/labeler.py b/dedupe/labeler.py
index c95e08aca..d99b85e11 100644
--- a/dedupe/labeler.py
+++ b/dedupe/labeler.py
@@ -5,7 +5,7 @@
 import numpy
 from typing import List
 from typing_extensions import Protocol
-import sklearn.linear_model
+import sklearn.ensemble
 
 import dedupe.core as core
 import dedupe.training as training
@@ -38,7 +38,7 @@ class HasDataModel(Protocol):
     data_model: datamodel.DataModel
 
 
-class RLRLearner(sklearn.linear_model.LogisticRegression, ActiveLearner):
+class RFLearner(sklearn.ensemble.RandomForestClassifier, ActiveLearner):
     def __init__(self, data_model):
         super().__init__()
         self.data_model = data_model
@@ -304,7 +304,7 @@ def _sample(self, data_1, data_2, sample_size):
 
 class DisagreementLearner(ActiveLearner):
 
-    classifier: RLRLearner
+    classifier: RFLearner
     blocker: BlockLearner
     candidates: List[TrainingExample]
 
@@ -409,7 +409,7 @@ def __init__(
 
         self.candidates = self.blocker.candidates
 
-        self.classifier = RLRLearner(self.data_model)
+        self.classifier = RFLearner(self.data_model)
         self.classifier.candidates = self.candidates
 
         self._common_init()
@@ -441,7 +441,7 @@ def __init__(
         self.blocker = RecordLinkBlockLearner(data_model, data_1, data_2, index_include)
         self.candidates = self.blocker.candidates
 
-        self.classifier = RLRLearner(self.data_model)
+        self.classifier = RFLearner(self.data_model)
         self.classifier.candidates = self.candidates
 
         self._common_init()
diff --git a/tests/test_labeler.py b/tests/test_labeler.py
index 48293ab3a..1bd4e8e4b 100644
--- a/tests/test_labeler.py
+++ b/tests/test_labeler.py
@@ -20,7 +20,7 @@ def setUp(self):
     def test_AL(self):
         random.seed(1111111111110)
         original_N = len(SAMPLE)
-        active_learner = dedupe.labeler.RLRLearner(self.data_model)
+        active_learner = dedupe.labeler.RFLearner(self.data_model)
         active_learner.candidates = SAMPLE
         assert len(active_learner) == original_N