Prediction Model for Connection Interruption

This project has been done as a term project within the random noise and signals course.
The aim of the project is to build a model to predict whether a subscriber will open a disconnection ticket or not in the next three days.
The dataset has about 5 million example of subscribers from 81 different cities in Turkey.

In order for the code to run without problems the following tools and libraries need to be installed:

• Python 3.7
• Jupyter notebook
• Pandas
• Numpy
• Matplotlib
• Collections
• Sklearn
• Openpyxl

Data Preperation

Some data preparation cleaning has been done before training the model.

• Filling empty rows in targeted Column
• Filling some columns with dummy values
• Decreasing the difference between zeros and ones in targeted column
• Encoding the data

Two Different Models

In this project I have tryed two different models and decided for one of them according to the outputs I got.

The Confusion Matrix for The KNN Model Accuracy = 95.4%

The Confusion Matrix for The MLP Model Accuracy = 99.7%