Spaces:
Sleeping
Sleeping
guggellagupta
commited on
Commit
•
4109702
1
Parent(s):
d39ea92
Upload 6 files
Browse files- Dockerfile +30 -0
- churn_new (1).zip +3 -0
- first_telc.csv +76 -0
- main.py +87 -0
- model.sav +0 -0
- requirements.txt +5 -0
Dockerfile
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# Use Python 3.10.12 as the base image
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FROM python:3.9.13
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# Set the working directory to /code
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WORKDIR /code
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# Copy the requirements file into the container at /code/requirements.txt
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COPY ./requirements.txt /code/requirements.txt
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# Upgrade pip and install the dependencies
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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# Create a non-root user with UID 1000
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RUN useradd -m -u 1000 user
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# Switch to the non-root user
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USER user
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# Set environment variables for the user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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# Set the working directory for the application
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WORKDIR $HOME/app
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# Copy the local code into the container at /home/user/app
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COPY --chown=user . $HOME/app
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# Specify the command to run on container start
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
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churn_new (1).zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0423e1544159137362e230cb81779483fef737d0ba8df3907705ff6755a1345
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size 174941
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first_telc.csv
ADDED
@@ -0,0 +1,76 @@
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,gender,SeniorCitizen,Partner,Dependents,tenure,PhoneService,MultipleLines,InternetService,OnlineSecurity,OnlineBackup,DeviceProtection,TechSupport,StreamingTV,StreamingMovies,Contract,PaperlessBilling,PaymentMethod,MonthlyCharges,TotalCharges
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0,Female,0,Yes,No,1,No,No phone service,DSL,No,Yes,No,No,No,No,Month-to-month,Yes,Electronic check,29.85,29.85
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1,Male,0,No,No,34,Yes,No,DSL,Yes,No,Yes,No,No,No,One year,No,Mailed check,56.95,1889.5
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3,Male,0,No,No,45,No,No phone service,DSL,Yes,No,Yes,Yes,No,No,One year,No,Bank transfer (automatic),42.3,1840.75
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6,Male,0,No,Yes,22,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,No,Month-to-month,Yes,Credit card (automatic),89.1,1949.4
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11,Male,0,No,No,16,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),18.95,326.8
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5,Female,0,No,No,8,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Electronic check,99.65,820.5
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4,Female,0,No,No,2,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,70.7,151.65
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2,Male,0,No,No,2,Yes,No,DSL,Yes,Yes,No,No,No,No,Month-to-month,Yes,Mailed check,53.85,108.15
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7,Female,0,No,No,10,No,No phone service,DSL,Yes,No,No,No,No,No,Month-to-month,No,Mailed check,29.75,301.9
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8,Female,0,Yes,No,28,Yes,Yes,Fiber optic,No,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,104.8,3046.05
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9,Male,0,No,Yes,62,Yes,No,DSL,Yes,Yes,No,No,No,No,One year,No,Bank transfer (automatic),56.15,3487.95
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10,Male,0,Yes,Yes,13,Yes,No,DSL,Yes,No,No,No,No,No,Month-to-month,Yes,Mailed check,49.95,587.45
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12,Male,0,Yes,No,58,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,One year,No,Credit card (automatic),100.35,5681.1
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13,Male,0,No,No,49,Yes,Yes,Fiber optic,No,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),103.7,5036.3
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14,Male,0,No,No,25,Yes,No,Fiber optic,Yes,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,105.5,2686.05
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17 |
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15,Female,0,Yes,Yes,69,Yes,Yes,Fiber optic,Yes,Yes,Yes,Yes,Yes,Yes,Two year,No,Credit card (automatic),113.25,7895.15
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16,Female,0,No,No,52,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Mailed check,20.65,1022.95
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17,Male,0,No,Yes,71,Yes,Yes,Fiber optic,Yes,No,Yes,No,Yes,Yes,Two year,No,Bank transfer (automatic),106.7,7382.25
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19,Female,0,No,No,21,Yes,No,Fiber optic,No,Yes,Yes,No,No,Yes,Month-to-month,Yes,Electronic check,90.05,1862.9
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21,Male,0,Yes,No,12,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,One year,No,Bank transfer (automatic),19.8,202.25
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25,Female,0,No,No,30,Yes,No,DSL,Yes,Yes,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),55.3,1530.6
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26,Male,0,Yes,Yes,47,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,99.35,4749.15
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24 |
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28,Male,0,Yes,No,72,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),90.25,6369.45
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25 |
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29,Female,0,No,Yes,17,Yes,No,DSL,No,No,No,No,Yes,Yes,Month-to-month,Yes,Mailed check,64.7,1093.1
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26 |
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32,Female,0,Yes,Yes,27,Yes,No,DSL,Yes,Yes,Yes,Yes,No,No,One year,No,Mailed check,66.15,1874.45
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27 |
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36,Male,0,No,No,5,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,69.7,316.9
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28 |
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37,Female,0,No,No,46,Yes,No,Fiber optic,No,No,Yes,No,No,No,Month-to-month,Yes,Credit card (automatic),74.8,3548.3
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29 |
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39,Female,0,No,No,11,Yes,Yes,Fiber optic,No,No,Yes,No,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),97.85,1105.4
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41,Female,0,Yes,Yes,70,Yes,Yes,DSL,Yes,Yes,No,No,Yes,No,Two year,Yes,Credit card (automatic),69.2,4872.35
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31 |
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43,Female,0,No,No,63,Yes,Yes,DSL,Yes,Yes,Yes,Yes,Yes,No,Two year,Yes,Credit card (automatic),79.85,4861.45
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32 |
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50,Female,1,No,No,43,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,No,Month-to-month,Yes,Electronic check,90.25,3838.75
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33 |
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51,Female,0,No,No,15,Yes,No,Fiber optic,Yes,Yes,No,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),99.1,1426.4
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34 |
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54,Female,1,Yes,Yes,60,Yes,No,DSL,Yes,Yes,Yes,Yes,No,Yes,One year,Yes,Credit card (automatic),74.85,4456.35
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35 |
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55,Male,1,No,No,18,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,Yes,Electronic check,95.45,1752.55
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36 |
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57,Male,1,Yes,Yes,66,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,One year,Yes,Electronic check,108.45,7076.35
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37 |
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64,Female,0,No,No,9,Yes,Yes,Fiber optic,No,No,No,No,Yes,Yes,Month-to-month,No,Electronic check,94.4,857.25
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38 |
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65,Female,0,No,No,3,Yes,No,DSL,No,Yes,No,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,75.3,244.1
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39 |
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67,Female,0,No,No,31,Yes,No,DSL,No,Yes,Yes,Yes,Yes,Yes,Two year,No,Mailed check,79.2,2497.2
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40 |
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68,Female,0,Yes,Yes,50,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.15,930.9
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72,Male,1,Yes,Yes,64,Yes,Yes,Fiber optic,Yes,No,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),111.6,7099
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75,Female,1,No,No,56,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,One year,No,Electronic check,110.5,6139.5
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43 |
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82,Female,0,Yes,No,7,Yes,No,Fiber optic,No,No,Yes,No,No,No,Month-to-month,Yes,Bank transfer (automatic),75.15,496.9
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44 |
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83,Female,0,No,No,42,Yes,No,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Month-to-month,Yes,Bank transfer (automatic),103.8,4327.5
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45 |
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86,Female,0,Yes,No,35,Yes,No,DSL,Yes,No,No,No,Yes,No,One year,Yes,Bank transfer (automatic),62.15,2215.45
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46 |
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87,Female,0,Yes,Yes,48,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Bank transfer (automatic),20.65,1057
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47 |
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89,Male,0,Yes,No,29,No,No phone service,DSL,No,No,No,No,Yes,No,Month-to-month,No,Mailed check,33.75,1009.25
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48 |
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93,Female,0,No,No,65,Yes,Yes,Fiber optic,Yes,Yes,Yes,No,Yes,Yes,Month-to-month,Yes,Credit card (automatic),111.05,7107
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49 |
+
102,Male,0,No,No,38,Yes,Yes,Fiber optic,No,No,Yes,Yes,Yes,No,One year,No,Bank transfer (automatic),95.0,3605.6
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50 |
+
104,Male,0,Yes,No,68,Yes,Yes,Fiber optic,No,Yes,Yes,Yes,Yes,Yes,Two year,Yes,Bank transfer (automatic),110.0,7611.85
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51 |
+
107,Female,0,No,No,32,No,No phone service,DSL,Yes,No,No,No,No,No,One year,No,Mailed check,30.15,927.65
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52 |
+
110,Male,0,Yes,No,55,Yes,Yes,Fiber optic,Yes,Yes,No,No,Yes,No,Month-to-month,Yes,Electronic check,96.75,5238.9
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53 |
+
113,Female,1,Yes,No,37,Yes,Yes,Fiber optic,No,No,No,No,No,No,Month-to-month,Yes,Electronic check,76.5,2868.15
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54 |
+
116,Female,0,No,No,36,No,No phone service,DSL,Yes,No,No,No,No,No,Two year,No,Bank transfer (automatic),31.05,1126.35
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55 |
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118,Female,0,No,No,41,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Mailed check,20.65,835.15
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56 |
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121,Female,0,No,No,6,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.7,112.75
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57 |
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124,Female,0,Yes,Yes,4,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Month-to-month,No,Mailed check,20.85,62.9
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58 |
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125,Male,0,No,No,33,Yes,No,Fiber optic,Yes,No,No,Yes,Yes,No,Two year,Yes,Electronic check,88.95,3027.65
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59 |
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132,Male,0,No,No,67,Yes,No,DSL,No,No,No,Yes,No,No,Two year,No,Bank transfer (automatic),50.55,3260.1
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60 |
+
136,Female,0,No,No,23,Yes,No,Fiber optic,Yes,No,No,No,No,No,Month-to-month,Yes,Bank transfer (automatic),75.0,1778.5
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61 |
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138,Male,0,No,Yes,57,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Mailed check,19.6,1170.55
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62 |
+
142,Female,0,Yes,No,61,Yes,Yes,Fiber optic,No,Yes,No,No,Yes,Yes,Two year,Yes,Bank transfer (automatic),101.05,5971.25
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63 |
+
155,Female,0,Yes,Yes,14,Yes,No,Fiber optic,No,No,No,No,No,Yes,Month-to-month,Yes,Bank transfer (automatic),80.9,1152.8
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64 |
+
161,Female,0,Yes,No,20,Yes,Yes,Fiber optic,Yes,No,No,No,No,No,Month-to-month,No,Electronic check,82.4,1592.35
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65 |
+
163,Male,0,No,No,53,Yes,Yes,DSL,No,Yes,Yes,Yes,No,Yes,Two year,Yes,Bank transfer (automatic),73.9,3958.25
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66 |
+
189,Female,0,Yes,No,40,Yes,Yes,DSL,No,Yes,No,No,No,No,Month-to-month,No,Credit card (automatic),56.6,2379.1
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67 |
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194,Male,0,Yes,Yes,59,Yes,No,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,No,Credit card (automatic),19.3,1192.7
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68 |
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196,Male,0,Yes,Yes,24,Yes,Yes,No,No internet service,No internet service,No internet service,No internet service,No internet service,No internet service,Two year,Yes,Bank transfer (automatic),24.1,587.4
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69 |
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204,Male,0,No,No,44,Yes,No,Fiber optic,No,No,No,No,No,No,Month-to-month,No,Credit card (automatic),68.85,2958.95
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70 |
+
208,Female,0,No,No,19,Yes,No,Fiber optic,Yes,No,Yes,Yes,Yes,Yes,Month-to-month,Yes,Electronic check,106.6,1934.45
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71 |
+
230,Male,0,No,No,54,Yes,Yes,Fiber optic,Yes,Yes,No,Yes,Yes,Yes,Two year,Yes,Credit card (automatic),108.0,5760.65
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72 |
+
250,Female,0,Yes,No,51,Yes,No,Fiber optic,Yes,Yes,Yes,No,Yes,No,One year,Yes,Electronic check,93.5,4619.55
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73 |
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435,Female,0,No,No,26,No,No phone service,DSL,No,No,Yes,Yes,Yes,No,Month-to-month,Yes,Credit card (automatic),44.45,1183.8
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74 |
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488,Female,0,Yes,Yes,0,No,No phone service,DSL,Yes,No,Yes,Yes,Yes,No,Two year,Yes,Bank transfer (automatic),52.55,
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75 |
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546,Male,0,Yes,Yes,39,Yes,No,Fiber optic,No,Yes,No,No,Yes,No,Month-to-month,Yes,Mailed check,86.3,3266
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76 |
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20,Male,1,No,No,1,No,No phone service,DSL,No,No,Yes,No,No,Yes,Month-to-month,Yes,Electronic check,39.65,39.65
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main.py
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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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import pandas as pd
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import pickle # Import the pickle module
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # You can replace "*" with your frontend's URL
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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df_1 = pd.read_csv("first_telc.csv")
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# Define the input data model
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class InputData(BaseModel):
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SeniorCitizen: int
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MonthlyCharges: float
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TotalCharges: float
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gender: str
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Partner: str
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Dependents: str
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29 |
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PhoneService: str
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30 |
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MultipleLines: str
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31 |
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InternetService: str
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32 |
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OnlineSecurity: str
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33 |
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OnlineBackup: str
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34 |
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DeviceProtection: str
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35 |
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TechSupport: str
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36 |
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StreamingTV: str
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37 |
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StreamingMovies: str
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38 |
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Contract: str
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39 |
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PaperlessBilling: str
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40 |
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PaymentMethod: str
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41 |
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tenure: int
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42 |
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43 |
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44 |
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model = pickle.load(open("model.sav", "rb"))
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45 |
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46 |
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47 |
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# Endpoint to make predictions
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48 |
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@app.post("/predict")
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49 |
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async def predict_churn(data: InputData):
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# Transform the input data into a DataFrame
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51 |
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data_list = [[data.SeniorCitizen, data.MonthlyCharges, data.TotalCharges, data.gender, data.Partner,
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52 |
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data.Dependents, data.PhoneService, data.MultipleLines, data.InternetService,
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53 |
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data.OnlineSecurity, data.OnlineBackup, data.DeviceProtection, data.TechSupport,
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54 |
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data.StreamingTV, data.StreamingMovies, data.Contract, data.PaperlessBilling,
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55 |
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data.PaymentMethod, data.tenure]]
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56 |
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57 |
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new_df = pd.DataFrame(data_list, columns=['SeniorCitizen', 'MonthlyCharges', 'TotalCharges', 'gender',
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58 |
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'Partner', 'Dependents', 'PhoneService', 'MultipleLines',
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59 |
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'InternetService',
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60 |
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'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport',
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61 |
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'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling',
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62 |
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'PaymentMethod', 'tenure'])
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63 |
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64 |
+
df_2 = pd.concat([df_1, new_df], ignore_index=True)
|
65 |
+
|
66 |
+
# Group the tenure in bins of 12 months
|
67 |
+
labels = ["{0} - {1}".format(i, i + 11) for i in range(1, 72, 12)]
|
68 |
+
df_2['tenure_group'] = pd.cut(df_2.tenure.astype(int), range(1, 80, 12), right=False, labels=labels)
|
69 |
+
|
70 |
+
# Drop column 'tenure'
|
71 |
+
df_2.drop(columns=['tenure'], axis=1, inplace=True)
|
72 |
+
|
73 |
+
new_df_dummies = pd.get_dummies(df_2[['gender', 'SeniorCitizen', 'Partner', 'Dependents', 'PhoneService',
|
74 |
+
'MultipleLines', 'InternetService', 'OnlineSecurity', 'OnlineBackup',
|
75 |
+
'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies',
|
76 |
+
'Contract', 'PaperlessBilling', 'PaymentMethod', 'tenure_group']])
|
77 |
+
|
78 |
+
# Make predictions
|
79 |
+
prediction = model.predict(new_df_dummies.tail(1))
|
80 |
+
probability = model.predict_proba(new_df_dummies.tail(1))[:, 1]
|
81 |
+
|
82 |
+
if prediction == 1:
|
83 |
+
result = {"output_1": "This customer is likely to be churned!!", "output_2": f"Confidence: {probability * 100}"}
|
84 |
+
else:
|
85 |
+
result = {"output_1": "This customer is likely to continue!!", "output_2": f"Confidence: {probability * 100}"}
|
86 |
+
|
87 |
+
return result
|
model.sav
ADDED
Binary file (613 kB). View file
|
|
requirements.txt
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
pandas==2.2.0
|
2 |
+
fastapi==0.109.2
|
3 |
+
pydantic==2.6.1
|
4 |
+
scikit-learn==0.24.1
|
5 |
+
uvicorn
|