更新 function.py

function.py

@@ -1,5 +1,6 @@
-# function.py
 import numpy as np
+from sklearn.preprocessing import MinMaxScaler
+from sklearn.model_selection import train_test_split
 
 """
 实验说明:
@@ -17,17 +18,8 @@ import numpy as np
 - numpy: 2.1.1
 """
 
-
-"""
-请在这里填写学号和姓名，不填写即成绩无效。
-"""
 id = "202210423130"
 name = "董秋"
-# 这里写自己的代码实现
-import numpy as np
-from sklearn.preprocessing import MinMaxScaler
-from sklearn.model_selection import train_test_split
-
 
 def sigmoid(z):
     return 1.0 / (1 + np.exp(-z))
@@ -85,6 +77,7 @@ def load_data(filepath):
 
     data = np.array(data)
     labels = np.array(labels)
+
     # 将标签二分类化，2和3为0，其余为1
     target_variable = np.where((labels == 2) | (labels == 3), 0, 1)
 
@@ -119,4 +112,4 @@ if __name__ == "__main__":
 
     # 测试模型
     final_test_accuracy = accuracy(X_test, y_test, final_weights)
-    print(f"最终测试集的准确率: {final_test_accuracy:.4f}")
+    print(f"最终测试集的准确率: {final_test_accuracy:.4f}")