diff --git a/config.txt b/config.txt
index 6ad06eb..3c840d1 100644
--- a/config.txt
+++ b/config.txt
@@ -1 +1 @@
---precision 1
+--metric RMSE --precision 1
diff --git a/dev-0/out.tsv b/dev-0/out.tsv
index 5201481..1f46d6a 100644
--- a/dev-0/out.tsv
+++ b/dev-0/out.tsv
@@ -1,4 +1,3 @@
-0
 77497.59817308374
 12145.183204738423
 49614.760815142654
diff --git a/main.py b/main.py
index 1ea9897..9fae238 100644
--- a/main.py
+++ b/main.py
@@ -35,7 +35,8 @@ cars_dev.drop('brand', inplace=True, axis=1)
 X_dev = pd.DataFrame(cars_dev)
 
 Y_dev_predicted = model.predict(X_dev)
-pd.DataFrame(Y_dev_predicted).to_csv('dev-0/out.tsv', sep='\t', index=False)
+print(Y_dev_predicted)
+pd.DataFrame(Y_dev_predicted).to_csv('dev-0/out.tsv', sep='\t', index=False, header=False)
 
 
 cars_test=pd.read_csv('test-A/in.tsv', sep='\t', names=names)
@@ -44,7 +45,7 @@ cars_test.drop('brand', inplace=True, axis=1)
 X_test = pd.DataFrame(cars_test)
 
 Y_test_predicted = model.predict(X_test)
-pd.DataFrame(Y_test_predicted).to_csv('test-A/out.tsv', sep='\t', index=False)
+pd.DataFrame(Y_test_predicted).to_csv('test-A/out.tsv', sep='\t', index=False, header=False)
 
 error = np.sqrt(mean_squared_error(Y_dev, Y_dev_predicted))
 print(error)
diff --git a/test-A/out.tsv b/test-A/out.tsv
index e3a58cd..aee9d0b 100644
--- a/test-A/out.tsv
+++ b/test-A/out.tsv
@@ -1,4 +1,3 @@
-0
 24338.076058211736
 23636.277893734165
 12031.8488286715