diff --git a/src/P2/processing.py b/src/P2/processing.py
index 39db65e..44fffaf 100644
--- a/src/P2/processing.py
+++ b/src/P2/processing.py
@@ -35,6 +35,7 @@ def predict_data(data, model, results, sample):
         labels=prediction,
         metric="euclidean",
         sample_size=sample,
+        random_state=42,
     )
     populated_results = populate_results(
         df=results,
@@ -80,8 +81,7 @@ def plot_scatter_plot(results):
 
 def print_dataframe(df):
     df.set_index("model")
-    output_df = df.filter["clusters", "silhouette", "calinski", "time"]
-    print(output_df)
+    print(df)
 
 
 def show_results(results):
@@ -95,8 +95,8 @@ def show_results(results):
 def create_result_dataframes():
     results = DataFrame(
         columns=[
-            "clusters",
             "model",
+            "clusters",
             "prediction",
             "silhouette",
             "calinski-harabasz",
@@ -156,7 +156,7 @@ def main():
     models = ["kmeans", "birch", "affinity", "meanshift", "dbscan"]
     if len(argv) != 4:
         usage()
-    case, sample = argv[2], argv[3]
+    case, sample = argv[2], int(argv[3])
     data = parse_data(source="data/accidentes_2013.csv", action=str(argv[1]))
     individual_result, complete_results = create_result_dataframes()
     case_data = construct_case(df=data, choice=case)
@@ -171,8 +171,8 @@ def main():
         complete_results = complete_results.append(
             individual_result.append(model_results)
         )
-    indexed_results = complete_results.set_index("model")
-    show_results(results=indexed_results)
+    complete_results.set_index("model")
+    print_dataframe(df=complete_results)
 
 
 if __name__ == "__main__":