diff --git a/Jenkinsfile_mlflow b/Jenkinsfile_mlflow
index 5c1809f..c8346ce 100644
--- a/Jenkinsfile_mlflow
+++ b/Jenkinsfile_mlflow
@@ -34,7 +34,6 @@ pipeline {
                 "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
                     sh 'python3 ./nn_train_mlflow.py'
                     archiveArtifacts artifacts: 'mlruns/**'
-                    sh 'rm -r my_model_mlflow'
                 }
             }
         }
diff --git a/nn_train_mlflow.py b/nn_train_mlflow.py
index 653b0ac..803c35c 100644
--- a/nn_train_mlflow.py
+++ b/nn_train_mlflow.py
@@ -12,8 +12,9 @@ import sys
 from urllib.parse import urlparse
 
 
-mlflow.set_experiment("s444517")
 mlflow.set_tracking_uri("http://172.17.0.1:5000")
+mlflow.set_experiment("s_444517")
+
 
 # reading data
 def read_data():
@@ -102,7 +103,7 @@ with mlflow.start_run():
     tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
     
     if tracking_url_type_store != "file":
-        mlflow.sklearn.log_model(model, "my_model_mlflow", registered_model_name="s444517", signature=signature, input_example=input_example)
+        mlflow.sklearn.log_model(model, "my_model_mlflow", registered_model_name="s_444517", signature=signature, input_example=input_example)
     else:
-        mlflow.sklearn.log_model(model, "my_model_mlflow", signature=signature, input_example=input_example)
+        mlflow.sklearn.log_model(model, "my_model_mlflow", registered_model_name="s_444517", signature=signature, input_example=input_example)
         mlflow.keras.save_model(model, "my_model_mlflow", signature=signature, input_example=input_example)
\ No newline at end of file