Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 7, 2024Deleted JournalOpen Access

Data-Driven Decision-Making: Accurate Customer Churn Prediction with Cat-Boost

View Full Paper
Ask AI
Bookmark
Share

Authors

BHBismah HasanSindh Madressatul Islam UniversityZZZubair ZubairSyarif Hidayatullah State Islamic University JakartaSSShahrukh Ali ShaikhNED University of Engineering and Technology

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Hasan et al. (2024) studied this question.

synapsesocial.com/papers/68e65baeb6db6435875e9e84https://doi.org/10.62019/abbdm.v4i02.175
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Customer churning analysis using machine learning algorithms2023 · 79 citations
  2. 2Pre-Trained Model-Based NFR Classification: Overcoming Limited Data Challenges2023 · 25 citations
  3. 3Empirical analysis of tree-based classification models for customer churn prediction2023 · 22 citations
  4. 4A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners2024 · 138 citations
  5. 5Estimating customer churn under competing risks2020 · 30 citations