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import streamlit as st
def main():
st.title("Introduction to Metrics in Machine Learning")
st.markdown(
"""
### What is METRICS?
In machine learning, metrics are quantitative measures used to evaluate the performance of a model. The choice of metric depends on the problem type:
- Classification Metrics → Evaluate models that predict categories (e.g., spam detection).
- Regression Metrics → Evaluate models that predict continuous values (e.g., house price prediction).
"""
)
# Button to redirect to another Hugging Face space
if st.button("Explore More"):
st.markdown(
'<a href="https://huggingface.co/spaces/shwetashweta05/Metrics/edit/main/pages/Introduction_of_metrics.py" target="_blank">Click here to explore!</a>',
unsafe_allow_html=True,
)
if __name__ == "__main__":
main()
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