更新 function.py

function.py

@@ -60,8 +60,7 @@ def load_data():
     y = data['outcome']  
       
     # 划分训练集和测试集  
-    X_train, X_test = X.iloc[:300], X.iloc[300:]  
+    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)  
-    y_train, y_test = y.iloc[:300], y.iloc[300:]  
       
     return X_train, X_test, y_train, y_test  
 
@@ -88,4 +87,3 @@ if __name__ == "__main__":
     y_pred = predict_logreg(model, X_test)  
     accuracy = evaluate_model(y_test, y_pred)  
     print(f"Model Accuracy: {accuracy:.4f}")
-