diff --git a/pkgs/development/python-modules/mlxtend/0001-StackingCVClassifier-fit-ensure-compatibility-with-s.patch b/pkgs/development/python-modules/mlxtend/0001-StackingCVClassifier-fit-ensure-compatibility-with-s.patch
deleted file mode 100644
index 2d807ef2c2e0..000000000000
--- a/pkgs/development/python-modules/mlxtend/0001-StackingCVClassifier-fit-ensure-compatibility-with-s.patch
+++ /dev/null
@@ -1,80 +0,0 @@
-From 1fb59eb42f4bef229b953de313c7e78f0857ea42 Mon Sep 17 00:00:00 2001
-From: Philip Wilk <p.wilk@student.reading.ac.uk>
-Date: Sun, 23 Mar 2025 16:14:51 +0000
-Subject: [PATCH] StackingCVClassifier/fit: ensure compatibility with
- *scikit-learn* versions 1.4 and above by dynamically selecting between
- `fit_params` and `params`
-
----
- mlxtend/classifier/stacking_cv_classification.py | 5 ++++-
- mlxtend/regressor/stacking_cv_regression.py      | 6 +++++-
- 2 files changed, 9 insertions(+), 2 deletions(-)
-
-diff --git a/mlxtend/classifier/stacking_cv_classification.py b/mlxtend/classifier/stacking_cv_classification.py
-index 5bff6907..f4c45b8c 100644
---- a/mlxtend/classifier/stacking_cv_classification.py
-+++ b/mlxtend/classifier/stacking_cv_classification.py
-@@ -15,6 +15,7 @@ from sklearn.base import TransformerMixin, clone
- from sklearn.model_selection import cross_val_predict
- from sklearn.model_selection._split import check_cv
- from sklearn.preprocessing import LabelEncoder
-+from sklearn import __version__ as sklearn_version
- 
- from ..externals.estimator_checks import check_is_fitted
- from ..externals.name_estimators import _name_estimators
-@@ -266,6 +267,8 @@ class StackingCVClassifier(
-             if self.verbose > 1:
-                 print(_name_estimators((model,))[0][1])
- 
-+            param_name = "fit_params" if sklearn_version < "1.4" else "params"
-+
-             prediction = cross_val_predict(
-                 model,
-                 X,
-@@ -273,10 +276,10 @@ class StackingCVClassifier(
-                 groups=groups,
-                 cv=final_cv,
-                 n_jobs=self.n_jobs,
--                fit_params=fit_params,
-                 verbose=self.verbose,
-                 pre_dispatch=self.pre_dispatch,
-                 method="predict_proba" if self.use_probas else "predict",
-+                **{param_name: fit_params},
-             )
- 
-             if not self.use_probas:
-diff --git a/mlxtend/regressor/stacking_cv_regression.py b/mlxtend/regressor/stacking_cv_regression.py
-index a1faf2ff..d2fb1c49 100644
---- a/mlxtend/regressor/stacking_cv_regression.py
-+++ b/mlxtend/regressor/stacking_cv_regression.py
-@@ -19,6 +19,7 @@ from sklearn.base import RegressorMixin, TransformerMixin, clone
- from sklearn.model_selection import cross_val_predict
- from sklearn.model_selection._split import check_cv
- from sklearn.utils import check_X_y
-+from sklearn import __version__ as sklearn_version
- 
- from ..externals.estimator_checks import check_is_fitted
- from ..externals.name_estimators import _name_estimators
-@@ -211,6 +212,9 @@ class StackingCVRegressor(_BaseXComposition, RegressorMixin, TransformerMixin):
-             fit_params = None
-         else:
-             fit_params = dict(sample_weight=sample_weight)
-+
-+        param_name = "fit_params" if sklearn_version < "1.4" else "params"
-+
-         meta_features = np.column_stack(
-             [
-                 cross_val_predict(
-@@ -221,8 +225,8 @@ class StackingCVRegressor(_BaseXComposition, RegressorMixin, TransformerMixin):
-                     cv=kfold,
-                     verbose=self.verbose,
-                     n_jobs=self.n_jobs,
--                    fit_params=fit_params,
-                     pre_dispatch=self.pre_dispatch,
-+                    **{param_name: fit_params},
-                 )
-                 for regr in self.regr_
-             ]
--- 
-2.47.1
-
diff --git a/pkgs/development/python-modules/mlxtend/default.nix b/pkgs/development/python-modules/mlxtend/default.nix
index c6ff6cfdbd23..8b0cf517676d 100644
--- a/pkgs/development/python-modules/mlxtend/default.nix
+++ b/pkgs/development/python-modules/mlxtend/default.nix
@@ -38,11 +38,6 @@ buildPythonPackage rec {
     joblib
   ];
 
-  patches = [
-    # https://github.com/rasbt/mlxtend/issues/1117
-    ./0001-StackingCVClassifier-fit-ensure-compatibility-with-s.patch
-  ];
-
   nativeCheckInputs = [ pytestCheckHook ];
 
   pytestFlags = [ "-sv" ];
@@ -52,6 +47,14 @@ buildPythonPackage rec {
     "test_invalid_labels_1"
     "test_default"
     "test_nullability"
+    # see upstream issue https://github.com/rasbt/mlxtend/issues/1161
+    # skip the "TypeError: only 0-dimensional arrays can be converted to Python scalars" failures in test_perceptron
+    "test_standardized_iris_data"
+    "test_progress_1"
+    "test_progress_2"
+    "test_progress_3"
+    "test_score_function"
+    "test_nonstandardized_iris_data"
   ];
 
   disabledTestPaths = [
@@ -59,10 +62,6 @@ buildPythonPackage rec {
     "mlxtend/evaluate/tests/test_feature_importance.py" # urlopen error
     "mlxtend/evaluate/tests/test_bias_variance_decomp.py" # keras.api._v2
     "mlxtend/evaluate/tests/test_bootstrap_point632.py" # keras.api._v2
-    # Failing tests, most likely an upstream issue. See https://github.com/rasbt/mlxtend/issues/1117
-    "mlxtend/classifier/tests/test_ensemble_vote_classifier.py"
-    "mlxtend/classifier/tests/test_stacking_classifier.py"
-    "mlxtend/classifier/tests/test_stacking_cv_classifier.py"
   ];
 
   meta = {