更新 function.py

function.py

@@ -90,18 +90,18 @@ def load_data(filepath):
     data = np.array(data)
     labels = np.array(labels)
 
-    # 检查特征数量
+    
     num_features = data.shape[1]
 
-    # 特征选择：去掉特征3（索引2）和特征24~28（索引23~26），确保索引有效
-    indices_to_delete = [2]  # 特征3
-    if num_features > 24:  # 确保特征数量足够
-        indices_to_delete += list(range(24, 27))  # 特征24到27（索引23到26）
+    
+    indices_to_delete = [2]  
+    if num_features > 24:  
+        indices_to_delete += list(range(24, 27)) 
 
-    # 删除特征
+    
     data = np.delete(data, indices_to_delete, axis=1)
 
-    # 将标签二分类化，特征23（索引22）取值2和3合并为0，其余为1
+    
     target_variable = np.where((labels == 2) | (labels == 3), 0, 1)
 
     return data, target_variable
@@ -112,7 +112,6 @@ def accuracy(X, y, weights):
     return np.mean(predictions == y)
 
 
-# 其余代码保持不变
 if __name__ == "__main__":
     # 加载数据
     X, y = load_data("./data/horse-colic.data")