fix metric to rmse bc continuous values xd

predict.py

@@ -1,7 +1,7 @@
 import pandas as pd
 from tensorflow import keras
 import numpy as np
-from sklearn.metrics import accuracy_score
+from sklearn.metrics import root_mean_squared_error
 np.set_printoptions(threshold=np.inf)
 
 data = pd.read_csv("df_test.csv")
@@ -15,6 +15,6 @@ predictions = model.predict(X_test)
 with open("predictions.txt", "w") as f:
     f.write(str(predictions))
 
-accuracy = accuracy_score(y_test, predictions)
+accuracy = root_mean_squared_error(y_test, predictions)
 with open("accuracy.txt", 'a') as file:
     file.write(str(accuracy))