Summary - Content: Created and tested new features- Conclusion: Performance did not improve, but I feel like I understood the concept① Creating features by combining variables in advance can help the model learn② Simple combinations resul…

Summary of This Article -Content: I tried splitting the model based on the values of highly influential variables.(Example: When MonthlyCharges differs between monthly payment and yearly payment, split the data accordingly and train separ…

Summary - Content: I asked Copilot what to do for data understanding in a Kaggle competition - Conclusion: The path for data insights and model integration has become clear① Identify multiple possible paths that lead to churn based on dat…

Summary -Content: Asking various questions about model (algorithm) selection in a Kaggle competition -Conclusion: I now understand the overall picture of model selection. Next, I’ll move on to data understanding! Goal This time, I will a…