import streamlit as st def run(): st.set_page_config(page_title="Dataset Information") st.title("Dataset Information") # Additional Information st.header("Additional Information") st.markdown('
This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to date. The "goal" field refers to the presence of heart disease in the patient. It is integer valued with 0 as no presence of heart disease and 1 for presence of heart disease. Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1) from absence (value 0). The names and social security numbers of the patients were recently removed from the database, replaced with dummy values. One file has been "processed", that one containing the Cleveland database. All four unprocessed files also exist in this directory.
', unsafe_allow_html=True) # Missing Values st.header("Missing Values") st.write("Yes") # Add a footer st.markdown("---") st.write("Made with ❤️ by Viga, Hanum, & Robit") if __name__ == "__main__": run()