Update app.py
Browse files
app.py
CHANGED
@@ -52,4 +52,10 @@ hide_streamlit_style = """
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subheader {alignment: center;}
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</style>
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"""
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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subheader {alignment: center;}
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</style>
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"""
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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st.markdown("""
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There are several points to note on the effect of K on the quality of model fit:
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* Models with extremely small values of K learn the local patterns and do not generalize well thus they have a high variance or overfitting effect.
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* Models with extremely high values of K suffer from averaging effect over the entire space and thus do not do well even on the train points. This is known as a high bias or underfitting effect.
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""")
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