更新 function.py

function.py

@@ -33,7 +33,7 @@ from sklearn.linear_model import LogisticRegression
 from sklearn.metrics import accuracy_score, classification_report  
 
 # 读取数据  
-data_path = '.\\data\\horse-colic.data'  
+data_path = 'C:\\Users\\star\\Desktop\\机器学习\\experiment-log\\data\\horse-colic.data'  
 data = pd.read_csv(data_path, header=None, delim_whitespace=True, na_values='?')  
 
 # 处理缺失值（用0填充）  
@@ -66,3 +66,4 @@ report = classification_report(y_test, y_pred)
 print(f"Accuracy: {accuracy:.2f}")  
 print("Classification Report:")  
 print(report)  
+