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Survey Final.csv

@@ -0,0 +1,370 @@
+Overcrowding,Preference,Daytime Safety,Nighttime Safety,Taxi DSafety,Taxi NSafety,Reporting,Background Check,Percieved Safety
+1,1,4,2,4,2,4,5,Uncomfortable
+1,2,3,1,4,3,4,5,Unsafe
+1,1,4,5,4,4,1,4,Safe
+1,2,4,3,5,4,2,4,Comfortable
+2,2,3,1,4,3,4,4,Unsafe
+1,1,4,3,4,3,5,4,Uncomfortable
+1,1,4,5,5,3,4,5,Comfortable
+2,1,4,2,5,2,5,5,Uncomfortable
+1,1,3,4,4,5,3,5,Comfortable
+1,2,4,2,4,2,4,5,Uncomfortable
+1,2,4,2,1,4,3,5,Uncomfortable
+1,1,3,2,3,2,4,5,Vulnerable
+1,2,4,1,4,2,3,5,Uncomfortable
+1,3,4,2,4,2,3,5,Uncomfortable
+1,1,5,2,5,2,1,5,Uncomfortable
+1,3,3,1,5,2,4,5,Unsafe
+2,2,5,4,5,5,4,5,Safe
+1,1,5,4,5,5,2,5,Safe
+1,1,4,3,4,4,3,5,Comfortable
+2,3,4,4,3,3,3,4,Uncomfortable
+1,3,4,2,3,2,4,5,Unsafe
+2,3,4,2,4,2,4,5,Uncomfortable
+1,1,4,4,3,2,3,5,Uncomfortable
+2,3,4,3,4,3,4,5,Uncomfortable
+2,4,4,2,3,3,3,4,Unsafe
+1,1,3,2,4,4,2,5,Uncomfortable
+2,2,3,2,4,3,4,5,Unsafe
+2,1,4,3,4,3,4,5,Uncomfortable
+1,5,5,1,5,5,5,5,Comfortable
+1,1,5,3,5,3,4,4,Uncomfortable
+2,3,4,3,4,3,4,4,Uncomfortable
+2,4,4,3,4,3,3,5,Uncomfortable
+2,3,4,2,4,2,4,4,Uncomfortable
+2,3,4,2,3,3,3,3,Unsafe
+2,2,4,2,2,2,4,4,Unsafe
+1,3,4,1,3,1,4,4,Unsafe
+2,2,4,3,3,3,2,4,Unsafe
+1,3,4,3,5,3,5,5,Uncomfortable
+3,3,4,2,4,4,4,4,Comfortable
+1,2,4,1,3,1,1,5,Unsafe
+1,3,4,3,4,3,5,4,Uncomfortable
+2,3,4,3,3,3,3,4,Unsafe
+1,3,3,1,3,1,3,5,Vulnerable
+2,4,4,3,4,3,5,4,Uncomfortable
+3,5,5,2,3,3,3,3,Unsafe
+1,1,4,3,5,4,3,5,Comfortable
+2,3,4,3,4,3,2,5,Uncomfortable
+2,3,4,4,4,4,4,4,Safe
+1,2,4,1,4,2,3,5,Uncomfortable
+1,2,4,2,4,2,5,5,Uncomfortable
+2,2,3,5,1,2,4,4,Unsafe
+2,2,3,2,2,2,3,5,Vulnerable
+1,2,4,2,2,2,4,4,Unsafe
+1,3,4,3,4,3,3,4,Uncomfortable
+2,2,4,2,4,2,3,5,Uncomfortable
+2,3,4,3,4,3,2,5,Uncomfortable
+1,2,4,3,4,3,1,5,Uncomfortable
+1,3,3,3,4,4,3,4,Uncomfortable
+1,5,5,1,5,5,1,5,Comfortable
+2,1,5,5,5,5,4,4,Safe
+1,3,5,2,5,2,4,5,Uncomfortable
+3,2,5,2,4,2,4,5,Uncomfortable
+3,3,4,4,4,4,3,4,Safe
+2,5,2,2,4,4,4,5,Uncomfortable
+1,3,4,3,4,3,3,5,Uncomfortable
+1,3,3,3,3,3,3,3,Vulnerable
+2,4,2,2,3,2,3,3,Vulnerable
+2,2,4,2,4,4,2,4,Comfortable
+1,3,4,3,4,4,5,4,Comfortable
+2,4,3,3,4,3,3,4,Unsafe
+1,2,4,2,4,2,3,5,Uncomfortable
+2,2,4,2,4,4,4,5,Comfortable
+2,2,4,3,4,3,3,5,Uncomfortable
+1,1,3,2,3,3,4,5,Vulnerable
+2,3,2,3,4,3,4,5,Unsafe
+2,3,4,2,3,3,2,5,Unsafe
+1,3,4,2,4,3,3,4,Uncomfortable
+1,2,5,2,4,3,3,5,Uncomfortable
+1,5,4,3,5,5,3,5,Comfortable
+1,4,5,2,5,4,4,5,Comfortable
+1,2,4,1,2,2,5,5,Unsafe
+1,3,4,3,4,3,4,4,Uncomfortable
+1,1,4,4,4,3,2,3,Comfortable
+2,3,4,2,4,2,4,4,Uncomfortable
+1,2,5,2,5,4,1,5,Comfortable
+2,1,4,2,3,2,3,4,Unsafe
+1,4,5,4,5,3,2,5,Comfortable
+2,1,4,2,3,2,3,4,Unsafe
+1,4,3,3,2,2,2,4,Vulnerable
+1,3,5,4,4,4,5,5,Safe
+2,2,3,2,4,4,3,5,Uncomfortable
+1,4,2,2,2,2,2,4,Vulnerable
+1,2,3,1,4,4,4,5,Uncomfortable
+1,4,5,3,5,3,4,5,Uncomfortable
+1,3,4,1,4,4,3,5,Comfortable
+1,3,4,2,5,2,4,5,Uncomfortable
+2,2,3,1,4,3,2,5,Unsafe
+2,1,3,3,3,3,3,4,Vulnerable
+2,3,4,3,4,4,4,4,Comfortable
+1,3,3,3,3,3,2,4,Vulnerable
+1,2,2,1,4,3,2,4,Unsafe
+1,2,2,1,4,3,2,4,Unsafe
+1,2,4,2,4,2,2,5,Uncomfortable
+1,3,4,1,4,1,4,4,Uncomfortable
+2,4,4,3,3,2,4,5,Unsafe
+1,4,4,2,4,3,4,4,Uncomfortable
+2,3,4,2,4,2,5,5,Uncomfortable
+1,1,1,1,2,2,4,5,Vulnerable
+2,4,3,2,3,2,4,4,Vulnerable
+2,2,5,4,3,3,3,4,Uncomfortable
+1,3,4,4,4,4,3,5,Safe
+1,3,4,4,4,4,3,5,Safe
+1,3,4,4,4,4,3,5,Safe
+1,2,5,2,4,3,3,5,Uncomfortable
+1,1,4,1,4,3,5,5,Uncomfortable
+1,3,4,3,4,4,2,4,Comfortable
+2,2,4,3,4,4,3,4,Comfortable
+2,2,4,3,4,3,3,4,Uncomfortable
+1,2,4,2,4,2,3,5,Uncomfortable
+2,1,4,3,2,1,4,5,Unsafe
+1,2,5,4,5,5,4,5,Safe
+2,2,4,3,4,3,4,5,Uncomfortable
+1,4,4,4,4,4,4,4,Safe
+1,3,5,5,5,5,5,5,Safe
+1,3,5,1,5,3,3,4,Uncomfortable
+2,1,3,4,4,3,3,3,Uncomfortable
+1,2,4,1,4,3,2,5,Uncomfortable
+1,2,4,3,5,4,4,5,Comfortable
+2,3,4,3,3,3,3,5,Unsafe
+1,1,2,2,5,5,5,5,Uncomfortable
+1,2,3,1,3,3,3,5,Vulnerable
+1,3,4,2,4,4,4,5,Comfortable
+2,2,1,1,2,2,2,3,Vulnerable
+1,4,4,2,4,2,4,5,Uncomfortable
+2,5,4,4,5,4,3,4,Safe
+2,2,4,5,4,5,2,5,Safe
+1,3,3,1,3,1,3,5,Vulnerable
+1,2,4,2,4,4,3,5,Comfortable
+2,3,4,2,3,2,4,4,Unsafe
+2,3,4,3,3,2,3,5,Unsafe
+2,2,4,2,4,4,4,5,Comfortable
+2,1,4,3,4,3,4,5,Uncomfortable
+2,3,4,3,4,3,4,5,Uncomfortable
+2,3,4,3,4,3,3,5,Uncomfortable
+3,1,4,3,4,2,3,5,Uncomfortable
+2,3,4,5,5,4,4,5,Safe
+2,1,2,1,5,2,4,5,Unsafe
+1,2,3,3,4,4,2,5,Uncomfortable
+1,4,5,4,4,4,1,5,Safe
+2,4,5,4,4,5,4,5,Safe
+1,3,5,3,4,3,3,5,Uncomfortable
+2,3,5,4,4,3,4,5,Comfortable
+1,3,4,4,5,4,4,5,Safe
+1,2,3,2,4,4,3,5,Uncomfortable
+1,2,4,2,5,4,4,5,Comfortable
+2,1,4,4,5,3,3,4,Comfortable
+2,1,2,2,4,4,4,5,Uncomfortable
+2,3,4,2,4,2,4,5,Uncomfortable
+1,3,3,3,3,3,4,5,Vulnerable
+1,2,4,2,3,3,3,5,Unsafe
+1,2,2,2,3,1,5,5,Vulnerable
+3,3,4,3,4,3,2,4,Uncomfortable
+1,3,4,3,4,4,3,5,Comfortable
+2,4,5,2,5,5,3,5,Comfortable
+2,3,4,4,4,5,4,5,Safe
+1,3,4,2,3,3,4,5,Unsafe
+1,4,5,3,4,3,2,5,Uncomfortable
+1,3,4,3,5,3,5,5,Uncomfortable
+1,3,5,4,5,4,4,4,Safe
+2,4,4,3,4,3,3,4,Uncomfortable
+2,3,3,3,4,3,3,4,Unsafe
+2,3,4,2,4,1,3,5,Uncomfortable
+1,1,4,1,2,1,4,5,Unsafe
+1,4,4,2,4,4,4,4,Comfortable
+1,3,3,2,3,3,3,4,Vulnerable
+1,4,2,1,2,1,4,4,Vulnerable
+2,1,4,5,3,5,3,5,Comfortable
+3,4,3,3,3,3,3,3,Vulnerable
+2,3,3,3,3,3,3,4,Vulnerable
+2,2,3,3,3,3,3,4,Vulnerable
+3,3,4,3,4,3,3,4,Uncomfortable
+1,3,4,4,4,2,4,5,Comfortable
+2,2,5,2,4,3,3,4,Uncomfortable
+1,3,4,3,4,3,4,5,Uncomfortable
+2,3,3,3,3,3,2,4,Vulnerable
+1,2,4,2,4,2,3,4,Uncomfortable
+2,2,5,4,5,3,4,5,Comfortable
+1,3,3,5,2,5,4,3,Uncomfortable
+1,3,4,3,4,3,2,5,Uncomfortable
+2,2,4,3,4,3,2,5,Uncomfortable
+1,3,5,2,5,4,5,5,Comfortable
+3,4,4,2,4,2,4,4,Uncomfortable
+2,4,4,2,3,2,4,5,Unsafe
+2,3,4,2,4,2,4,4,Uncomfortable
+2,3,4,3,4,3,2,5,Uncomfortable
+1,3,5,2,5,2,2,5,Uncomfortable
+2,3,4,2,4,2,4,4,Uncomfortable
+1,2,4,2,4,1,2,5,Uncomfortable
+2,4,2,2,4,3,4,3,Unsafe
+2,3,4,2,4,2,4,5,Uncomfortable
+2,3,4,1,3,3,4,4,Unsafe
+2,3,4,2,4,2,4,5,Uncomfortable
+2,2,4,3,3,3,3,4,Unsafe
+2,2,4,3,4,3,3,5,Uncomfortable
+2,3,4,2,4,2,2,4,Uncomfortable
+2,3,4,3,3,4,3,3,Uncomfortable
+3,3,3,3,3,3,3,4,Vulnerable
+1,4,4,2,3,3,4,4,Unsafe
+2,3,4,4,4,4,1,5,Safe
+2,4,4,4,3,4,4,4,Comfortable
+4,2,3,3,3,3,3,5,Vulnerable
+1,4,4,3,3,3,3,3,Unsafe
+1,3,4,2,4,2,2,5,Uncomfortable
+2,3,3,3,3,3,3,3,Vulnerable
+1,3,4,3,4,3,3,4,Uncomfortable
+4,1,5,2,5,2,4,4,Uncomfortable
+2,3,4,2,3,3,3,5,Unsafe
+2,4,4,4,3,3,3,3,Uncomfortable
+2,4,3,4,3,3,4,4,Unsafe
+2,1,4,5,3,4,4,4,Comfortable
+2,4,5,4,4,4,4,4,Safe
+2,1,5,4,3,3,4,4,Uncomfortable
+3,1,5,4,3,4,5,5,Comfortable
+1,1,5,4,4,4,2,4,Safe
+1,2,3,4,3,4,3,5,Uncomfortable
+2,2,4,4,4,4,4,5,Safe
+1,1,3,3,4,5,4,5,Uncomfortable
+2,2,2,4,4,4,4,4,Comfortable
+1,4,3,3,4,3,4,4,Unsafe
+1,3,4,2,4,2,1,5,Uncomfortable
+3,3,1,3,2,2,4,5,Vulnerable
+2,2,3,4,4,5,4,5,Comfortable
+2,2,5,2,4,5,3,4,Comfortable
+1,4,3,4,2,5,3,4,Uncomfortable
+1,4,5,5,5,5,1,5,Safe
+2,4,2,4,4,4,4,5,Comfortable
+1,3,4,2,4,3,4,5,Uncomfortable
+2,2,2,2,3,3,2,4,Vulnerable
+1,2,4,2,3,3,2,5,Unsafe
+2,2,4,3,4,3,4,4,Uncomfortable
+1,2,4,3,4,3,5,5,Uncomfortable
+4,3,2,3,2,3,1,3,Vulnerable
+3,2,3,2,2,1,2,5,Vulnerable
+2,3,4,1,4,1,2,5,Uncomfortable
+1,4,4,3,4,3,2,5,Uncomfortable
+1,4,4,2,5,2,4,5,Uncomfortable
+2,1,2,3,4,2,2,4,Unsafe
+2,2,4,3,4,3,3,5,Uncomfortable
+1,2,4,1,1,1,2,4,Unsafe
+3,3,4,2,4,4,2,5,Comfortable
+1,3,4,3,5,3,3,5,Uncomfortable
+1,1,4,1,4,1,3,5,Uncomfortable
+1,3,5,4,5,4,4,4,Safe
+5,3,3,3,4,4,3,5,Uncomfortable
+3,4,3,3,3,3,3,4,Vulnerable
+1,1,5,3,4,3,2,4,Uncomfortable
+2,3,3,3,3,3,2,3,Vulnerable
+2,3,4,3,4,3,3,4,Uncomfortable
+3,1,3,3,3,3,3,4,Vulnerable
+1,4,4,3,4,2,3,5,Uncomfortable
+1,3,4,4,5,4,4,4,Safe
+1,4,3,2,4,3,2,5,Unsafe
+2,4,5,4,5,5,5,5,Safe
+2,3,4,2,4,3,2,5,Uncomfortable
+1,3,3,2,4,3,4,5,Unsafe
+1,3,4,3,4,3,4,5,Uncomfortable
+2,2,4,3,4,3,2,4,Uncomfortable
+1,2,4,4,4,4,4,5,Safe
+2,4,4,4,4,4,2,5,Safe
+2,1,5,4,4,3,2,5,Comfortable
+1,4,4,2,4,2,4,5,Uncomfortable
+1,3,4,2,4,2,4,5,Uncomfortable
+2,3,5,4,3,2,1,4,Uncomfortable
+1,1,3,1,2,2,3,5,Vulnerable
+2,4,3,3,2,2,3,5,Vulnerable
+1,3,4,3,4,3,5,5,Uncomfortable
+1,2,4,2,4,3,4,4,Uncomfortable
+4,4,4,3,4,3,5,5,Uncomfortable
+1,4,3,3,3,3,3,5,Vulnerable
+2,2,4,1,4,2,4,5,Uncomfortable
+1,2,4,3,4,3,4,4,Uncomfortable
+1,2,4,2,4,2,4,4,Uncomfortable
+2,2,4,3,4,3,4,4,Uncomfortable
+2,2,4,3,4,2,3,3,Uncomfortable
+2,3,4,3,3,3,3,4,Unsafe
+2,4,4,3,4,4,2,5,Comfortable
+2,2,2,1,4,2,3,5,Unsafe
+2,4,4,3,4,3,3,4,Uncomfortable
+5,3,5,3,3,4,4,3,Uncomfortable
+1,3,5,3,4,3,1,5,Uncomfortable
+1,2,4,3,4,2,2,5,Uncomfortable
+2,3,3,2,4,2,4,5,Unsafe
+1,2,4,4,4,4,2,4,Safe
+1,2,4,3,4,2,2,5,Uncomfortable
+1,1,5,1,1,1,2,4,Unsafe
+1,3,3,1,4,2,4,5,Unsafe
+1,2,4,1,3,1,4,5,Unsafe
+1,3,4,1,5,1,3,5,Uncomfortable
+1,3,4,2,4,2,3,5,Uncomfortable
+3,2,3,2,4,2,2,5,Unsafe
+2,1,5,3,4,3,4,3,Uncomfortable
+1,1,4,4,4,3,3,5,Comfortable
+1,1,4,3,4,3,3,5,Uncomfortable
+2,1,4,2,4,2,2,5,Uncomfortable
+1,2,4,1,4,1,4,5,Uncomfortable
+2,3,4,3,4,3,4,3,Uncomfortable
+1,2,4,2,4,2,3,5,Uncomfortable
+2,2,4,2,4,2,4,5,Uncomfortable
+2,3,4,2,4,2,4,5,Uncomfortable
+1,1,4,1,1,2,3,5,Unsafe
+3,2,3,1,4,2,4,5,Unsafe
+3,4,4,2,4,2,2,4,Uncomfortable
+1,1,4,1,4,1,4,5,Uncomfortable
+1,3,3,2,4,2,3,5,Unsafe
+2,3,4,1,4,1,4,5,Uncomfortable
+2,1,4,3,4,3,3,5,Uncomfortable
+2,2,4,3,4,3,3,5,Uncomfortable
+1,2,3,3,3,3,1,5,Vulnerable
+1,1,4,2,4,2,3,5,Uncomfortable
+1,2,3,2,3,2,4,3,Vulnerable
+1,2,3,3,4,3,4,5,Unsafe
+1,2,4,3,4,3,4,5,Uncomfortable
+1,3,3,2,4,3,3,5,Unsafe
+1,3,3,3,3,1,1,5,Vulnerable
+1,1,2,1,3,1,3,5,Vulnerable
+1,3,5,1,5,2,3,5,Uncomfortable
+1,1,3,1,3,1,3,5,Vulnerable
+1,1,4,3,3,2,3,5,Unsafe
+2,2,4,3,3,3,4,5,Unsafe
+2,3,4,3,4,3,4,5,Uncomfortable
+1,3,5,1,5,2,3,5,Uncomfortable
+1,1,4,1,5,1,3,5,Uncomfortable
+1,1,4,2,5,1,4,5,Uncomfortable
+1,3,4,3,4,3,3,4,Uncomfortable
+2,3,4,2,4,2,4,4,Uncomfortable
+1,2,3,2,4,2,2,5,Unsafe
+1,2,3,2,4,2,3,5,Unsafe
+1,3,5,2,3,3,4,5,Unsafe
+1,3,4,3,4,4,3,4,Comfortable
+1,1,4,2,2,3,4,5,Unsafe
+1,3,3,3,3,3,3,4,Vulnerable
+1,2,5,1,5,2,2,5,Uncomfortable
+1,1,5,1,4,1,4,5,Uncomfortable
+1,3,3,3,4,3,3,5,Unsafe
+2,3,4,3,4,4,2,5,Comfortable
+2,2,3,2,4,2,3,4,Unsafe
+2,3,5,3,4,3,3,4,Uncomfortable
+1,3,4,3,4,3,3,4,Uncomfortable
+1,3,4,3,4,3,3,4,Uncomfortable
+2,2,4,3,3,3,3,3,Unsafe
+2,2,4,3,4,4,1,5,Comfortable
+1,3,4,4,4,4,3,5,Safe
+1,1,4,1,4,2,4,4,Uncomfortable
+1,3,5,3,5,2,3,5,Uncomfortable
+1,3,4,3,4,3,3,4,Uncomfortable
+1,3,4,4,4,4,1,5,Safe
+2,2,4,2,4,3,4,5,Uncomfortable
+4,2,4,2,4,2,2,4,Uncomfortable
+2,4,2,2,2,2,1,5,Vulnerable
+2,2,4,4,4,4,2,4,Safe
+2,3,4,4,4,4,3,5,Safe
+1,5,4,4,1,1,5,5,Uncomfortable
+2,1,5,3,4,3,5,5,Uncomfortable
+1,1,4,2,4,4,5,5,Comfortable
+1,4,4,2,5,4,4,5,Comfortable
+2,1,4,2,3,2,3,5,Unsafe
+2,4,4,2,4,4,4,4,Comfortable
+2,3,4,3,4,4,2,4,Comfortable
+2,4,4,4,4,4,2,4,Safe

safetyapp.py

@@ -0,0 +1,158 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+from sklearn.model_selection import train_test_split
+from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, ExtraTreesClassifier, HistGradientBoostingClassifier
+from sklearn.metrics import classification_report, accuracy_score, confusion_matrix
+from sklearn.preprocessing import LabelEncoder
+import shap
+
+# Load Dataset
+data_path = 'Survey Final.csv'
+df = pd.read_csv(data_path)
+
+# Encode Target Column
+le = LabelEncoder()
+df['Percieved Safety'] = le.fit_transform(df['Percieved Safety'])
+
+# Data Splitting (Global for Use in All Sections)
+test_size = 0.2  # Default test size (can be changed in data splitting section)
+X = df.drop(columns=['Percieved Safety'])
+y = df['Percieved Safety']
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=test_size, random_state=42)
+
+# Streamlit App
+st.set_page_config(page_title="Evaluating Safety Perception on Commuting App", layout='wide')
+st.title("Evaluating Safety Perception on Commuting ")
+
+# Sidebar Navigation
+selected = st.sidebar.selectbox(
+    "Navigation",
+    [
+        "📊 Data Overview",
+        "🔍 Exploratory Data Analysis",
+        "🤖 Model Training, Evaluation & Explanations",
+        "🔮 Predict Percieved Safety"
+    ]
+)
+
+# Data Overview
+if selected == "📊 Data Overview":
+    st.header("📊 Data Overview")
+    if st.checkbox("Show Dataset"):
+        st.write(df.head())
+        st.write(f"Dataset Shape: {df.shape}")
+        st.write("Data Types:")
+        st.write(df.dtypes)
+
+# Exploratory Data Analysis
+if selected == "🔍 Exploratory Data Analysis":
+    st.header("🔍 Exploratory Data Analysis")
+    if st.checkbox("Correlation Heatmap"):
+        st.write("Correlation Heatmap")
+        fig, ax = plt.subplots(figsize=(10, 6))
+        sns.heatmap(df.corr(), annot=True, cmap='coolwarm', ax=ax)
+        st.pyplot(fig)
+
+    if st.checkbox("Histogram"):
+        st.write("Histograms of Numeric Columns")
+        numeric_columns = df.select_dtypes(include=['int64', 'float64']).columns.tolist()
+        selected_column = st.selectbox("Select Column for Histogram", numeric_columns)
+        fig, ax = plt.subplots()
+        sns.histplot(df[selected_column], kde=True, ax=ax)
+        st.pyplot(fig)
+
+    if st.checkbox("Boxplot for Numeric Columns"):
+        st.write("Boxplot of Numeric Columns")
+        numeric_columns = df.select_dtypes(include=['int64', 'float64']).columns.tolist()
+        selected_column = st.selectbox("Select Column for Boxplot", numeric_columns)
+        fig, ax = plt.subplots()
+        sns.boxplot(data=df, x=selected_column, ax=ax)
+        st.pyplot(fig)
+
+    if st.checkbox("Pairplot of Dataset"):
+        st.write("Pairplot of the Dataset")
+        fig = sns.pairplot(df)
+        st.pyplot(fig)
+
+# Model Training, Evaluation & Explanations
+if selected == "🤖 Model Training, Evaluation & Explanations":
+    st.header("🤖 Model Training, Evaluation & Explanations")
+    if st.checkbox("Train, Evaluate, and Explain Models"):
+        # Model Training
+        st.write("Training Tree-Based Models")
+        models = {
+            "Random Forest": RandomForestClassifier(random_state=42),
+            "Gradient Boosting": GradientBoostingClassifier(random_state=42),
+            "Extra Trees": ExtraTreesClassifier(random_state=42),
+            "Histogram Gradient Boosting": HistGradientBoostingClassifier(random_state=42)
+        }
+        
+        model_preds = {}
+        model_accuracies = {}
+        for model_name, model in models.items():
+            model.fit(X_train, y_train)
+            preds = model.predict(X_test)
+            accuracy = accuracy_score(y_test, preds)
+            model_preds[model_name] = preds
+            model_accuracies[model_name] = accuracy
+            st.write(f"{model_name} Accuracy: {accuracy:.2f}")
+        
+        # Model Evaluation
+        selected_model = st.selectbox("Select Model for Detailed Evaluation", list(models.keys()))
+        selected_model_instance = models[selected_model]
+        selected_preds = model_preds[selected_model]
+        st.write("Classification Report:")
+        st.text(classification_report(y_test, selected_preds))
+        st.write("Confusion Matrix:")
+        st.write(confusion_matrix(y_test, selected_preds))
+        
+        # Feature Importance
+        if st.checkbox("Show Feature Importance"):
+            st.write(f"Feature Importance from {selected_model} Model")
+            if hasattr(selected_model_instance, 'feature_importances_'):
+                feature_importances = selected_model_instance.feature_importances_
+                importance_df = pd.DataFrame({"Feature": X_train.columns, "Importance": feature_importances})
+                importance_df = importance_df.sort_values(by="Importance", ascending=False)
+                st.bar_chart(importance_df.set_index("Feature"))
+            else:
+                st.write("The selected model does not support feature importances.")
+        
+        # SHAP Explanations
+        if st.checkbox("Explain Predictions with SHAP"):
+            st.write(f"SHAP Explanation for {selected_model} Model")
+            explainer = shap.TreeExplainer(selected_model_instance)
+            shap_values = explainer.shap_values(X_test)
+            shap.summary_plot(shap_values, X_test, plot_type="bar")
+            st.pyplot()
+
+# Predict Percieved Safety
+if selected == "🔮 Predict Percieved Safety":
+    st.header("🔮 Predict Percieved Safety")
+    st.write("Please provide the following information to predict Percieved Safety for transport:")
+    
+    # User Input for Prediction
+    overcrowding = st.selectbox("How overcrowded do you think the transport is on a scale from 0 (Not overcrowded) to 4 (Very overcrowded)?", [0, 1, 2, 3, 4])
+    preference = st.selectbox("How much do you prefer this mode of transport on a scale from 0 (Not preferred) to 4 (Highly preferred)?", [0, 1, 2, 3, 4])
+    daytime_safety = st.selectbox("How safe do you feel using this transport during the daytime on a scale from 0 (Not safe) to 4 (Very safe)?", [0, 1, 2, 3, 4])
+    nighttime_safety = st.selectbox("How safe do you feel using this transport during the nighttime on a scale from 0 (Not safe) to 4 (Very safe)?", [0, 1, 2, 3, 4])
+    taxi_dsafety = st.selectbox("How safe do you feel using a taxi during the day on a scale from 0 (Not safe) to 4 (Very safe)?", [0, 1, 2, 3, 4])
+    taxi_nsafety = st.selectbox("How safe do you feel using a taxi during the night on a scale from 0 (Not safe) to 4 (Very safe)?", [0, 1, 2, 3, 4])
+    reporting = st.selectbox("How comfortable are you with reporting incidents related to this transport on a scale from 0 (Not comfortable) to 4 (Very comfortable)?", [0, 1, 2, 3, 4])
+    background_check = st.selectbox("How effective do you think background checks are for transport personnel on a scale from 0 (Not effective) to 4 (Very effective)?", [0, 1, 2, 3, 4])
+
+    user_data = np.array([[
+        overcrowding, preference, daytime_safety, nighttime_safety,
+        taxi_dsafety, taxi_nsafety, reporting, background_check
+    ]])
+    
+    if st.button("Predict Percieved Safety"):
+        # Train the Model (Again) and Predict
+        model = RandomForestClassifier(random_state=42)
+        model.fit(X_train, y_train)
+        prediction = model.predict(user_data)
+        predicted_class = le.inverse_transform(prediction)
+        
+        st.write(f"Predicted Percieved Safety Class: {predicted_class[0]}")