The Implementation of a Logistic Regression Algorithm and Gradient Boosting Classifier for Predicting Telco Customer Churn

Angga Adiansya ; Zaenal Abidin
JURNAL ILMIAH KOMPUTER GRAFIS 📅 2024 Vol 17, No 1 🔗 DOI: 10.51903/pixel.v17i1.2006 ★ 1 Sitasi
Abstract
This research aims to predict customer churn in a telecommunications company using Logistic Regression (LR) and Gradient Boosting Classifier (GBC) algorithms. Customer churn poses a significant challenge as acquiring new customers is costlier than retaining existing ones. The dataset from Kaggle comprises 7043 records and 21 attributes. The process includes data pre-processing, cleaning, transformation, and normalization using a Min-Max Scaler. The data is split into features (X) and target (y), then divided into training and testing sets with an 80:20 ratio. Both models were trained and evaluated using a confusion matrix. Results show that the GBC model outperforms the LR model, with an accuracy of 83% compared to LR's 81%. This study demonstrates the effectiveness of GBC in predicting customer churn.
Keywords
Customer Churn; Logistic Regression; Gradient Boosting Classifier
How to Cite

Angga Adiansya & Zaenal Abidin (2024). The Implementation of a Logistic Regression Algorithm and Gradient Boosting Classifier for Predicting Telco Customer Churn. JURNAL ILMIAH KOMPUTER GRAFIS, 17(1). https://doi.org/10.51903/pixel.v17i1.2006

Angga Adiansya; Zaenal Abidin, "The Implementation of a Logistic Regression Algorithm and Gradient Boosting Classifier for Predicting Telco Customer Churn," JURNAL ILMIAH KOMPUTER GRAFIS, vol. 17, no. 1, 2024.

Angga Adiansya; Zaenal Abidin. "The Implementation of a Logistic Regression Algorithm and Gradient Boosting Classifier for Predicting Telco Customer Churn." JURNAL ILMIAH KOMPUTER GRAFIS, vol. 17, no. 1, 2024.

Angga Adiansya; Zaenal Abidin. "The Implementation of a Logistic Regression Algorithm and Gradient Boosting Classifier for Predicting Telco Customer Churn." JURNAL ILMIAH KOMPUTER GRAFIS 17, no. 1 (2024).

Angga Adiansya & Zaenal Abidin (2024) 'The Implementation of a Logistic Regression Algorithm and Gradient Boosting Classifier for Predicting Telco Customer Churn', JURNAL ILMIAH KOMPUTER GRAFIS, 17(1). doi: 10.51903/pixel.v17i1.2006.

Angga Adiansya; Zaenal Abidin. The Implementation of a Logistic Regression Algorithm and Gradient Boosting Classifier for Predicting Telco Customer Churn. JURNAL ILMIAH KOMPUTER GRAFIS. 2024;17(1).

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