Update pages/4_Model Creation and Evaluation.py

pages/4_Model Creation and Evaluation.py

@@ -278,10 +278,16 @@ svc_accuracy = accuracy_score(y_test, y_pred_svc)
 # Display accuracy
 st.write(f"Accuracy for SVC: {svc_accuracy:.2f}")
 
-# Display classification report
-st.write("Classification Report for SVC:")
-st.text(classification_report(y_test, y_pred_svc))  # Use st.text for better text formatting in Streamlit
+# Generate classification report as a dictionary
+report_dict = classification_report(y_test, y_pred_svc, output_dict=True)
+
+# Convert to DataFrame
+report_df = pd.DataFrame(report_dict).transpose()
 
+# Display the classification report as a table
+st.write("Classification Report for SVC:")
+st.dataframe(report_df)
+    
 # Compute confusion matrix
 conf_matrix_svc = confusion_matrix(y_test, y_pred_svc)
 st.write("Confusion Matrix for SVC:")