Create pages/24.Introduction_of_metrics.py.py

pages/24.Introduction_of_metrics.py.py

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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()