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MDT meeting rooms shall have the following technical and equipment conditions (as far as possible prepared according to local conditions):The whole network of "Learning Power" has more than 180 first-class columns in 17 sections, including "Learning New Ideas", "Xi Jinping Wenhui", "Learning Culture", "Global Vision" and "Learning Massive Open Online Course". The content is extremely rich and a large number of free-to-read news, periodicals, ancient books, open classes, songs, operas, movies, books and other materials are gathered.Well, in the above example, we have changed the action in the rule from DROP to REJECT, so what is the difference between DROP and REJECT? Literally, DROP means discarded, REJECT means rejected, and REJECT seems to be more determined. Let's launch a ping request from host 146 to host 156 again to see what is different from the previous action of DROP.19.04.19（星期四）In TCP implementation, when receiving the SYN request from the client, the server needs to reply the SYN + ACK packet to the client, and the client also needs to send the confirmation packet to the server. Usually, the initial serial number of the server is calculated by the server according to certain rules or adopts random numbers. However, in SYN cookies, the initial serial number of the server is obtained by hash operation and encryption of the client IP address, client port, server IP address, server port and other security values, which is called cookie. When the server suffers from SYN attack and makes the backlog queue full, the server does not reject the new SYN request, but replies the cookie (SYN serial number of the reply packet) to the client. If it receives the ACK packet from the client, the server subtracts 1 from the ACK serial number of the client to obtain the cookie comparison value, and performs a hash operation on the above elements to see if it is equal to the cookie. If equal, complete the three-way handshake directly (Note: At this time, you don't need to check whether this connection belongs to the backlog queue).It is easy to see that OvR only needs to train N classifiers, while OvO needs to train N (N-1)/2 classifiers, so the storage overhead and test time overhead of OvO are usually larger than OvR. However, in training, each classifier of OVR uses all training samples, while each classifier of OVO only uses samples of two classes. Therefore, when there are many classes, the training time cost of OVO is usually smaller than that of OVR. As for the prediction performance, it depends on the specific data distribution, which is similar in most cases.赵大人笑了笑，寻摸起旁边白色的风铃。