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Update train.py
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@dec1costello
dec1costello authored Oct 13, 2024
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# Load in the data
df = pd.read_csv("Streamlit/wine_quality.csv")
#connect to supabase with github secret keys

# Split into train and test sections
y = df.pop("quality")
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Training variance explained: 33.0%
Test variance explained: 32.0%

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