更新 function.py

function.py

@@ -115,8 +115,12 @@ if __name__ == "__main__":
     # 加载测试集
     X_test, y_test = load_data("./data/horse-colic.test")
 
-    # 训练对率回归模型
+    # 进行 K 折交叉验证
     k = 5  # 设置折数
-    accuracy = cross_validate(X_train, y_train, k=k, learning_rate=0.01, iterations=5000)
+    cv_accuracy = cross_validate(X_train, y_train, k=k, learning_rate=0.01, iterations=1000)
+    print(f"{k}-折交叉验证的平均准确率: {cv_accuracy:.2f}")
 
-    print(f"{k}-折交叉验证的平均准确率: {accuracy:.2f}")
+    # 测试单个数据
+    weights = train_logreg(X_train, y_train, learning_rate=0.01, iterations=1000)
+    y_pred = predict_logreg(X_test[11], weights)
+    print(f"预测结果: {y_pred}, 实际结果: {y_test[11]}")