training fails on VPN dataset with a ValueError about deep-packet HOT 1 OPEN

I faced NaN error and set under sampling to False.
You dont need to set False. Under sampling is quiet an important process.
Try to correct the processed_data ,open one of the .json file,check the app_label and traffic_label,if value is null that means u should add the specific prefix-id according to your dataset in utlis.py.
PREFIX_TO_APP_ID = {
# AIM chat
"aim_chat_3a": 0,
"aim_chat_3b": 0,
"aimchat1": 0,
"aimchat2": 0,
"vpn_aim_chat1a":0,
"vpn_aim_chat1b":0,
# Email
"email1a": 1,
"email1b": 1,
"email2a": 1,
"email2b": 1,
"vpn_email2a": 1,
"vpn_email2b": 1,
# Facebook
"facebook_audio1a": 2,
"facebook_audio1b": 2,
"facebook_audio2a": 2,
"facebook_audio2b": 2,
"facebook_audio3": 2,
"facebook_audio4": 2,
"facebook_chat_4a": 2,
"facebook_chat_4b": 2,
"facebook_video1a": 2,
"facebook_video1b": 2,
"facebook_video2a": 2,
"facebook_video2b": 2,
"facebookchat1": 2,
"facebookchat2": 2,
"facebookchat3": 2,
"vpn_facebook_audio2":2,
"vpn_facebook_chat1a":2,
"vpn_facebook_chat1b":2,
# FTPS
"ftps_down_1a": 3,
"ftps_down_1b": 3,
"ftps_up_2a": 3,
"ftps_up_2b": 3,
"vpn_ftps_A":3,
"vpn_ftps_B":3,
# Gmail
"gmailchat1": 4,
"gmailchat2": 4,
"gmailchat3": 4,
# Hangouts
"hangout_chat_4b": 5,
"hangouts_audio1a": 5,
"hangouts_audio1b": 5,
"hangouts_audio2a": 5,
"hangouts_audio2b": 5,
"hangouts_audio3": 5,
"hangouts_audio4": 5,
"hangouts_chat_4a": 5,
"hangouts_video1b": 5,
"hangouts_video2a": 5,
"hangouts_video2b": 5,
"vpn_hangouts_audio1":5,
"vpn_hangouts_audio2":5,
"vpn_hangouts_chat1a":5,
"vpn_hangouts_chat1b":5,
# ICQ
"icq_chat_3a": 6,
"icq_chat_3b": 6,
"icqchat1": 6,
"icqchat2": 6,
# Netflix
"netflix1": 7,
"netflix2": 7,
"netflix3": 7,
"netflix4": 7,
# SCP
"scp1": 8,
"scpdown1": 8,
"scpdown2": 8,
"scpdown3": 8,
"scpdown4": 8,
"scpdown5": 8,
"scpdown6": 8,
"scpup1": 8,
"scpup2": 8,
"scpup3": 8,
"scpup5": 8,
"scpup6": 8,
# SFTP
"sftp1": 9,
"sftp_down_3a": 9,
"sftp_down_3b": 9,
"sftp_up_2a": 9,
"sftp_up_2b": 9,
"sftpdown1": 9,
"sftpdown2": 9,
"sftpup1": 9,
# Skype
"skype_audio1a": 10,
"skype_audio1b": 10,
"skype_audio2a": 10,
"skype_audio2b": 10,
"skype_audio3": 10,
"skype_audio4": 10,
"skype_chat1a": 10,
"skype_chat1b": 10,
"skype_file1": 10,
"skype_file2": 10,
"skype_file3": 10,
"skype_file4": 10,
"skype_file5": 10,
"skype_file6": 10,
"skype_file7": 10,
"skype_file8": 10,
"skype_video1a": 10,
"skype_video1b": 10,
"skype_video2a": 10,
"skype_video2b": 10,
# Spotify
"spotify1": 11,
"spotify2": 11,
"spotify3": 11,
"spotify4": 11,
# Vimeo
"vimeo1": 12,
"vimeo2": 12,
"vimeo3": 12,
"vimeo4": 12,
# Voipbuster
"voipbuster1b": 13,
"voipbuster2b": 13,
"voipbuster3b": 13,
"voipbuster_4a": 13,
"voipbuster_4b": 13,
# Youtube
"youtube1": 14,
"youtube2": 14,
"youtube3": 14,
"youtube4": 14,
"youtube5": 14,
"youtube6": 14,
"youtubehtml5_1": 14,
#bittorrent
"vpn_bittorrent":15,
}
The dataset i use is VPN-PCAPS-01.

from deep-packet.