From 308e831468c693652869f833b514bb2e242c4e2b Mon Sep 17 00:00:00 2001
From: jingboyitiji <jingboyitiji@admin.com>
Date: Tue, 25 Mar 2025 10:39:43 +0800
Subject: [PATCH] =?UTF-8?q?=E5=8E=9F=E6=B2=B9=E5=91=A8=E5=BA=A6=EF=BC=8C?=
 =?UTF-8?q?=E5=91=A8=E4=B8=80=E6=A8=A1=E5=9E=8B=E5=90=8D=E7=A7=B0=E5=88=97?=
 =?UTF-8?q?=E8=A1=A8=E5=8F=96=E5=80=BC=E6=9B=B4=E6=94=B9?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 main_yuanyou_zhoudu.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/main_yuanyou_zhoudu.py b/main_yuanyou_zhoudu.py
index e8ae623..a131597 100644
--- a/main_yuanyou_zhoudu.py
+++ b/main_yuanyou_zhoudu.py
@@ -301,7 +301,7 @@ def predict_main():
                 thresh=len(model_results)*0.1, axis=1)
         # 删除空行
         model_results = model_results.dropna()
-        modelnames = model_results.columns.to_list()[2:-1]
+        modelnames = model_results.columns.to_list()[2:-2]
         for col in model_results[modelnames].select_dtypes(include=['object']).columns:
             model_results[col] = model_results[col].astype(np.float32)
         # 计算每个预测值与真实值之间的偏差率