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Update app.py
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app.py
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@@ -60,7 +60,7 @@ if uploaded_file is not None:
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# Evaluate the model
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accuracy = accuracy_score(y_test, y_pred)
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# Predict confidence scores for the entire dataset
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y_prob = gnb.predict_proba(X)
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@@ -74,7 +74,7 @@ if uploaded_file is not None:
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'Self_score', 'Confidence_score (%)']]
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st.write("### Processed Dataset")
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st.write(df)
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# Download button for the processed dataset
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csv = df.to_csv(index=False).encode('utf-8')
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st.download_button(
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# Evaluate the model
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accuracy = accuracy_score(y_test, y_pred)
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# Predict confidence scores for the entire dataset
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y_prob = gnb.predict_proba(X)
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'Self_score', 'Confidence_score (%)']]
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st.write("### Processed Dataset")
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st.write(df)
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st.write(f"### Model Accuracy: {accuracy:.2f}")
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# Download button for the processed dataset
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csv = df.to_csv(index=False).encode('utf-8')
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st.download_button(
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