Ajout de la prédiction avec deux algos (un de prédiction et un de classification) #7
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value = st.number_input(f"Value for {feature}", value=0.0)
pred_values.append(value)
prediction = model.predict([pred_values])
st.subheader("Enter values for prediction")
pred_values = [st.number_input(f"Value for {feature}", value=0.0) for feature in data_name]
prediction = model.predict([pred_values])
Would remove the
X does not have valid feature names, but LogisticRegression was fitted with feature names
warning.a848a4b81d
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10 months ago96d390c749
into main 10 months agoReviewers
96d390c749
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