python 具有多个返回值，只用一个参数去接受，为什么会出错

Question

最后的pre_text 不应该是一样的嘛，为什么结果会不同呢？

import numpy as np
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler


def load_data(filename):    # 加载数据
    f = open(filename, encoding='utf-8-sig')
    data = np.genfromtxt(f, delimiter=',')
    f.close()
    y = data[:, 0].astype(int)
    x = data[:, 1:]
    x_std = StandardScaler().fit_transform(x)  
    x_train, x_test, y_train, y_test = train_test_split(x_std, y, test_size=.3) 
    return x_train, x_test, y_train, y_test


def svm_c(x_train, x_test, y_train, y_test):
    svc = SVC(kernel='rbf', class_weight='balanced', probability=True)
    clf = svc.fit(x_train, y_train)    # 训练模型,
    pre_test = clf.predict(x_test)
    pre_test_proba = clf.predict_proba(x_test)  # 计算测试集精度
    return y_test, pre_test, pre_test_proba


if __name__ == '__main__':
    y_test, pre_test, pre_test_proba = svm_c(*load_data('./files/Data.csv'))
    print(pre_test)
    x = svm_c(*load_data('./files/Data.csv'))[1]
    print(x)

Answer 1

星号表达式(*expressoin)不可单独使用 可以先执行完函数再赋值