add back accuracy_score import

app.py

@@ -4,7 +4,7 @@ import numpy as np
 import streamlit as st
 from pycaret import regression as reg
 from pycaret import classification as clf
-from sklearn.metrics import mean_absolute_error, max_error, r2_score, mean_squared_error, confusion_matrix, ConfusionMatrixDisplay
+from sklearn.metrics import mean_absolute_error, max_error, r2_score, mean_squared_error, confusion_matrix, ConfusionMatrixDisplay, accuracy_score
 import matplotlib.pyplot as plt
 import streamlit.components.v1 as components
 import mpld3