From fe6b805b311dd6cbb718bc319de28ce81a5bc7f3 Mon Sep 17 00:00:00 2001 From: saeedkhosravi94 Date: Sat, 6 Dec 2025 00:16:08 +0100 Subject: [PATCH] LightGBM tuning --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2af3e7e..aaf5ffe 100644 --- a/README.md +++ b/README.md @@ -104,8 +104,8 @@ Current results taken KMEANS_SMOTE: ## next steps: ``` ✅ 1. Stratified K-fold only apply on train. -🗹 2. train LGBM model using KMEANS_SMOTE with knn k_neighbors=10 (fine-tune remained) +✅ 2. train LGBM model using KMEANS_SMOTE with knn k_neighbors=10 (fine-tune remained) 🗹 3. train Cat_boost using KMEANS_SMOTE with knn k_neighbors=10 (fine-tune remained) 🗹 4. implement proposed methods of this article : https://1drv.ms/b/c/ab2a38fe5c318317/IQBEDsSFcYj6R6AMtOnh0X6DAZUlFqAYq19WT8nTeXomFwg 🗹 5. compare proposed model with SMOTE vs oversampling balancing method -``` \ No newline at end of file +```