pages/2_Model_Evaluation.py

import torch
import streamlit as st
from PIL import Image

st.latex(r'''
     Accuracy = \left(\frac{TP +TN}{TN + TN + FP + FN}\right) 
     ''')

st.latex(r'''
     Precision = \frac{TP}{TP + FP}
     ''')
st.latex(r'''
     Recall (SE) = \frac{TP}{TP + FN} 
     ''')
st.latex(r'''
     SP = \frac{TN}{TN + FP} 
     ''')
st.latex(r'''
     Weighted \ Accuracy = \frac{SE + SP}{2}
     ''')
st.latex(r'''
     MCC = \frac{TP \times TN - FN \times FP}{\sqrt{(TP + FP)(TP + FN)(TN + FN) (TN + FP)}}
     ''')

image = Image.open('table.png')
st.image(image, caption='Table: Results of test set in JAK1, JAK2, JAK3 and TYK2', output_format='png', width=1000, use_column_width='never')