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Update app.py
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app.py
CHANGED
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@@ -2,7 +2,7 @@ import streamlit as st
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import pandas as pd
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import joblib
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-
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@st.cache_resource
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def load_model():
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return joblib.load('logistic_regression_model.joblib')
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@@ -13,7 +13,7 @@ st.title('Ad Click Prediction')
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st.write('Adjust the sliders below to predict if a user will click on an ad:')
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daily_time = st.slider('Daily Time Spent on Site (minutes)', min_value=32.6, max_value=91.43, value=65.0, step=0.1)
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age = st.slider('Age', min_value=19, max_value=61, value=36, step=1)
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area_income = st.slider('Area Income ($)', min_value=13996, max_value=79485, value=55000, step=100)
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@@ -27,7 +27,6 @@ if st.button('Predict'):
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'Age': [age],
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'Area Income': [area_income],
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'Daily Internet Usage': [daily_internet],
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'Male_male': [1 if gender == 'Male' else 0],
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'Male_not_male': [1 if gender == 'Not Male' else 0]
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})
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import pandas as pd
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import joblib
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# Model'i yükle
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@st.cache_resource
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def load_model():
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return joblib.load('logistic_regression_model.joblib')
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st.write('Adjust the sliders below to predict if a user will click on an ad:')
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# Kullanıcı girişleri
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daily_time = st.slider('Daily Time Spent on Site (minutes)', min_value=32.6, max_value=91.43, value=65.0, step=0.1)
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age = st.slider('Age', min_value=19, max_value=61, value=36, step=1)
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area_income = st.slider('Area Income ($)', min_value=13996, max_value=79485, value=55000, step=100)
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'Age': [age],
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'Area Income': [area_income],
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'Daily Internet Usage': [daily_internet],
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'Male_not_male': [1 if gender == 'Not Male' else 0]
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})
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