diff --git a/model_selection/hyperparam_tuning.py b/model_selection/hyperparam_tuning.py
index 0892526c0d6a8a3845c5dda366e4753f582ed0f3..3ebeeaa3301d10e881121f9fd9ded82adec1c8c3 100644
--- a/model_selection/hyperparam_tuning.py
+++ b/model_selection/hyperparam_tuning.py
@@ -149,7 +149,7 @@ if __name__ == "__main__":
                 print(f"{group}-{method_names[j]}-{model_name}")
                 # Find optimal hyperparams for curr model
                 params = hyperparameters[model_name]
-                search = RandomizedSearchCV(model, param_distributions=params, cv=cv, n_jobs=10, scoring='precision')
+                search = RandomizedSearchCV(model, param_distributions=params, cv=cv, n_jobs=10, scoring='f1')
                 search.fit(X,y)
                 # Keep optimal parameters
                 best_params = search.best_params_