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app.py

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+import streamlit as st
+import pandas as pd
+import seaborn as sns
+
+#title
+st.title("Predict Death Event")
+st.write("Created by Sihar Pangaribuan")
+
+# User imput
+age = st.number_input(label='Age', min_value=40, max_value=95, value=40, step=1)
+anaemia = st.selectbox(label='Anemia', options=['0', '1'])
+creatinine_phosphokinase = st.number_input(label='Creatinine Phosphokinase', min_value=23, max_value=7861, value=23, step=1)
+diabetes = st.selectbox(label='Diabetes', options=['0', '1'])
+ejection_fraction = st.number_input(label='Ejection Fraction', min_value=14, max_value=80, value=14, step=1)
+high_blood_pressure = st.selectbox(label='High Blood Pressure', options=['0', '1'])
+platelets = st.number_input(label='Platelets', min_value=25100.0, max_value=850000.0, value=25100.0, step=1.0)
+serum_creatinine = st.number_input(label='Serum Creatinine', min_value=0.5, max_value=9.4, value=0.5, step=0.1)
+serum_sodium = st.number_input(label='Serum Sodium', min_value=133, max_value=148, value=133, step=1)
+sex = st.selectbox(label='Sex', options=['0', '1'])
+smoking = st.selectbox(label='Smoking', options=['0', '1'])
+time = st.number_input(label='Time', min_value=4, max_value=285, value=4, step=1)
+
+# Convert ke data frame
+data = pd.DataFrame({'age': [age],
+                'anemia': [anaemia],
+                'creatinine_phosphokinase': [creatinine_phosphokinase],
+                'diabetes':[diabetes],
+                'ejection_fraction': [ejection_fraction],
+                'high_blood_pressure': [high_blood_pressure],
+                'platelets': [platelets],
+                'serum_creatinine': [serum_creatinine],
+                'serum_sodium': [serum_sodium],
+                'sex': [sex],
+                'smoking': [smoking],
+                'time': [time]})
+
+# model predict
+death = rf_randomCV.predict(data).tolist()[0]
+
+# interpretation
+st.write('Predition Result: ')
+if death == 0:
+    st.text('live')
+else:
+    st.text('Death')

rf_randomCV.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:44106088e43f386a95d665d35912a6fda7fbf1a7594b529e3cda4181c007ce5a
+size 396701