A ( )is a person who travels by train, plane or bus.A、visitorB、strangerC、patientD、passenger - itgle

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题目

A ( )is a person who travels by train, plane or bus.

A、visitor

B、stranger

C、patient

D、passenger

相似考题

1.If it ( ) tomorrow, we ( ) to the Summer Palace.A、rains, will goB、won't rain, goC、doesn't rain, will go

2.He is ( )on the 6 o'clock train on Friday evening.A. travellingB. travelC. travels

3.The word "diffuses" in Para. 3 is closest in meaning to ______.A) yieldsB) startsC) surfacesD) travels

4.短文理解听力原文： In the United States, even if you decide that you do not want to borrow in order to go on vacation, it is still a good idea for you to have several major credit cards. These provide positive identification when renting an automobile and can be used for the deposit. The credit card receipts will serve as an accurate record of all hotel, plane, train, and restaurant expenses. The use of credit cards avoids the necessity of carrying large amount of cash, purchasing large amounts of traveler's cheeks and keeping track of them, or attempting to use personal checks in places other than your own locality.Many major credit cards provide an instant cash service in case you run out of money. American Express, for example, has set up machines in major airports in which you can purchase traveler's checks using your American Express card.21. The credit card receipts will serve as accurate record for all but which of the following choices?22.Which of the following is not true about the use of credit card?23.Concerning the advantages of credit cards, which of the following is true?24.According to the passage, which card has set up machines in major airports?(21)A．hotel expensesB．stock exchangeC．plane expensesD．restaurant expenses

更多“A ( )is a person who travels by train, plane or bus. ”相关问题

第1题：

Person类可能的拷贝构造函数格式为：
A．Person(){}
B．Person(Person *p){}
C．Person(Person &p){}
D．Person(Person p){}

Person(const Person& p);
第2题：

在MINST数据集中，访问训练集train_x的第4个样本，可以通过_______语句实现。
A．train_x[4]
B．train_x[3]
C．train_x[0:3]
D．train_x[:4]

train_x[3]
第3题：

5、对手写数字数据集MNIST中的train_x训练集（60000,28,28)进行切片，下面对切片结果描述错误的是_______。 import tensorflow as tf import numpy as np mnist = tf.keras.datasets.mnist （train_x, train_y), （test_x, test_y) = mnist.load_data（)
A．train_x[0, :, :]：第1张图片
B．train_x[0:10, :, :]：前10张图片
C．train_x[:, 0:28:2, :]：对所有图片隔行采样
D．train_x[0:28:2, :, :]：对所有图片隔列采样

D
第4题：

7、下载波士顿房价数据集，将训练集放入test_x中，则执行______语句可以获得其中的前5行数据。
A．print(train_x[:, 5])
B．print(train_x[:, 4])
C．print(train_x[0:5])
D．print(train_x[:4])

B
第5题：

下列哪些语句会开始模型的训练：
A．LinearRegression().fit(x_train,y_train)
B．lr_mod.predict(x_train)
C．lasso_mod.fit(x_train,y_train)
D．vote_mod.predict(x_train)

B
第6题：

下载波士顿房价数据集，将训练集放入test_x中，则执行______语句可以获得其中的前5行数据。
A．print(train_x[:, 5])
B．print(train_x[:, 4])
C．print(train_x[0:5])
D．print(train_x[:4])

print(train_x[0:5])

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