From 4edfffa68799928af199d713741e6b10820dfb02 Mon Sep 17 00:00:00 2001
From: Ultraman <2900311815@qq.com>
Date: Tue, 22 Oct 2024 19:47:22 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20function.py?=
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---
 function.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/function.py b/function.py
index 9d78cda..1e2aaa4 100644
--- a/function.py
+++ b/function.py
@@ -6,7 +6,7 @@ import time
 id = "202210423220"
 name = "方子涵"
 
-def classify(input_vector, dataSet, labels, k=4):
+def classify(input_vector, dataSet, labels, k=5):
     """
     KNN 分类算法。
 
@@ -14,7 +14,7 @@ def classify(input_vector, dataSet, labels, k=4):
     - input_vector (numpy array): 输入待分类的样本。
     - dataSet (numpy array): 训练数据集。
     - labels (list or numpy array): 训练集对应的标签。
-    - k (int): kNN 算法参数，默认值为 4。
+    - k (int): kNN 算法参数，默认值为 5。
 
     Returns:
     - int: 预测的分类标签。
@@ -127,8 +127,8 @@ if __name__ == "__main__":
     )
     test_data_vector = np.array([int(char) for char in test_data]).reshape(1, 1024)
     
-    # 使用k=4进行分类
+    # 使用k=5进行分类
     start_time = time.time()
-    predicted_label = classify(test_data_vector, train_data, train_labels, k=4)
+    predicted_label = classify(test_data_vector, train_data, train_labels, k=5)
     end_time = time.time()
-    print(f"k = 4, 预测的标签: {predicted_label}, 执行时间: {end_time - start_time:.2f} 秒")
\ No newline at end of file
+    print(f"k = 5, 预测的标签: {predicted_label}, 执行时间: {end_time - start_time:.2f} 秒")
\ No newline at end of file