diff --git a/src/cluster/kmeans.rs b/src/cluster/kmeans.rs
index c542ae2..144f8c5 100644
--- a/src/cluster/kmeans.rs
+++ b/src/cluster/kmeans.rs
@@ -469,6 +469,7 @@ mod tests {
         all(target_arch = "wasm32", not(target_os = "wasi")),
         wasm_bindgen_test::wasm_bindgen_test
     )]
+    #[cfg(feature = "datasets")]
     #[test]
     fn fit_predict_iris() {
         let x = DenseMatrix::from_2d_array(&[
diff --git a/src/ensemble/random_forest_classifier.rs b/src/ensemble/random_forest_classifier.rs
index 3db103b..ca06e2f 100644
--- a/src/ensemble/random_forest_classifier.rs
+++ b/src/ensemble/random_forest_classifier.rs
@@ -634,6 +634,7 @@ mod tests {
         wasm_bindgen_test::wasm_bindgen_test
     )]
     #[test]
+    #[cfg(feature = "datasets")]
     fn fit_predict_iris() {
         let x = DenseMatrix::from_2d_array(&[
             &[5.1, 3.5, 1.4, 0.2],
diff --git a/src/tree/decision_tree_classifier.rs b/src/tree/decision_tree_classifier.rs
index a7b0228..cbce14e 100644
--- a/src/tree/decision_tree_classifier.rs
+++ b/src/tree/decision_tree_classifier.rs
@@ -919,6 +919,7 @@ mod tests {
         wasm_bindgen_test::wasm_bindgen_test
     )]
     #[test]
+    #[cfg(feature = "datasets")]
     fn fit_predict_iris() {
         let x: DenseMatrix<f64> = DenseMatrix::from_2d_array(&[
             &[5.1, 3.5, 1.4, 0.2],