Update app.py

app.py

@@ -1,12 +1,12 @@
 # app.py
-
+import sklearn as sk
 import streamlit as st
 import pandas as pd
 import numpy as np
-from sklearn.ensemble import RandomForestClassifier
-from sklearn.model_selection import train_test_split
-from sklearn.metrics import accuracy_score, roc_curve, auc
-from sklearn.decomposition import PCA
+from sk.ensemble import RandomForestClassifier
+from sk.model_selection import train_test_split
+from sk.metrics import accuracy_score, roc_curve, auc
+from sk.decomposition import PCA
 import matplotlib.pyplot as plt
 import seaborn as sns
 
@@ -22,7 +22,7 @@ This Streamlit app simulates a precision medicine system that predicts the effec
 **Disclaimer:** This is a simulation using synthetic data and is intended for educational purposes only. It should not be used for clinical decision-making.
 """)
 
-# --- Data Simulation ---
+# --- Data Simulation --
 
 st.header('1. Data Simulation')