Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Customer retention campaigns increasingly rely on predictive analytics to identify potential
churners in a customer base. Traditionally, customer churn prediction was dependent on …
churners in a customer base. Traditionally, customer churn prediction was dependent on …
Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms
Background Trauma is one of the most critical public health issues worldwide, leading to
death and disability and influencing all age groups. Therefore, there is great interest in …
death and disability and influencing all age groups. Therefore, there is great interest in …
Factors, Predictability and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature
The telecommunications sector has experienced exponential growth since the year 2000,
reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for …
reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for …
To SMOTE, or not to SMOTE?
Balancing the data before training a classifier is a popular technique to address the
challenges of imbalanced binary classification in tabular data. Balancing is commonly …
challenges of imbalanced binary classification in tabular data. Balancing is commonly …
Bayesian Optimization with Tree Ensembles to Improve Depression Screening on Textual Datasets
Improving digital depression screening is important for combating the global mental health
crisis. Textual data are promising for depression screening due to their many origins, but the …
crisis. Textual data are promising for depression screening due to their many origins, but the …
Customer churn prediction model: a case of the telecommunication market
Y Fareniuk, T Zatonatska, O Dluhopolskyi, O Kovalenko - Economics, 2022 - sciendo.com
The telecommunications market is well developed but is characterized by oversaturation
and high levels of competition. Based on this, the urgent problem is to retain customers and …
and high levels of competition. Based on this, the urgent problem is to retain customers and …
Sparrow Search Optimization with Ensemble of Machine Learning Model for Customer Retention Prediction and Classification
Customer Relationship Management (CRM) system is majorly used to allow organizations to
obtain new customers, establishes a continuous relationship with them and rises customer …
obtain new customers, establishes a continuous relationship with them and rises customer …
Customer churn prediction from Internet banking transactions data using an ensemble meta-classifier algorithm
F Ehsani - 2022 - researchsquare.com
With the advancement of electronic markets platforms, customers show different purchase
behaviors. Since they have a wide range of choices and low exit barriers, customer …
behaviors. Since they have a wide range of choices and low exit barriers, customer …
[ЦИТИРОВАНИЕ][C] Analisis sentimen dan pemodelan topik ulasan aplikasi Noice menggunakan XGBoost dan LDA
A Ikegami, I Dewa, M Bayu… - … J. Nas. Teknol. Inf. dan Apl, 2022 - ojs.unud.ac.id
Comparison of principal component analysis and recursive feature elimination with cross-validation feature selection algorithms for customer churn prediction
Customers choose services from telecommunication companies which are usually based on
service quality, price, to security issues. If the customer is not satisfied with the services …
service quality, price, to security issues. If the customer is not satisfied with the services …