This section describes main characteristics of the kddcup-land_vs_portsweep data set and its attributes:
General information
KDD Cup (Imbalanced: land vs portsweep) data set |
Type | Imbalanced | Origin | Real world |
Features | 41 | (Real / Integer / Nominal) | (26 / 0 / 15) |
Instances | 1061 |
IR | 49.52 |
% Positive instances | 1.98 | % Negative instances | 98.02 | Missing values? | No |
Attribute description
Attribute | Domain | Attribute | Domain | Attribute | Domain |
Atr-0 | [0.0,58329.0] | Atr-14 | {0, 1, 2} | Atr-28 | [0.0,1.0] |
Atr-1 | {icmp, tcp, udp} | Atr-15 | [0.0,993.0] | Atr-29 | [0.0,1.0] |
Atr-2 | {auth, bgp, courier, csnet_ns, ctf, daytime, discard, domain, domain_u, echo, eco_i, ecr_i, efs, exec, finger, ftp, ftp_data, gopher, hostnames, http, http_443, imap4, IRC, iso_tsap, klogin, kshell, ldap, link, login, mtp, name, netbios_dgm, netbios_ns, n | Atr-16 | [0.0,28.0] | Atr-30 | [0.0,1.0] |
Atr-3 | {OTH, REJ, RSTO, RSTOS0, RSTR, S0, S1, S2, S3, SF, SH} | Atr-17 | {0, 1, 2} | Atr-31 | [0.0,255.0] |
Atr-4 | [0.0,6.9337564E8] | Atr-18 | {0, 1, 2, 3, 4, 6, 8} | Atr-32 | [0.0,255.0] |
Atr-5 | [0.0,5155468.0] | Atr-19 | {0} | Atr-33 | [0.0,1.0] |
Atr-6 | {0, 1} | Atr-20 | {0} | Atr-34 | [0.0,1.0] |
Atr-7 | {0, 1, 3} | Atr-21 | {0, 1} | Atr-35 | [0.0,1.0] |
Atr-8 | {0, 1, 2, 3} | Atr-22 | [0.0,511.0] | Atr-36 | [0.0,1.0] |
Atr-9 | [0.0,30.0] | Atr-23 | [0.0,511.0] | Atr-37 | [0.0,1.0] |
Atr-10 | {0, 1, 2, 3, 4, 5} | Atr-24 | [0.0,1.0] | Atr-38 | [0.0,1.0] |
Atr-11 | {0, 1} | Atr-25 | [0.0,1.0] | Atr-39 | [0.0,1.0] |
Atr-12 | [0.0,884.0] | Atr-26 | [0.0,1.0] | Atr-40 | [0.0,1.0] |
Atr-13 | {0, 1} | Atr-27 | [0.0,1.0] | Class | {positive, negative} |
Additional information
An imbalanced version of the KDD Cup data set, where the possitive examples belong to the class land and the negative examples belong to the class portsweep.
In this section you can download some files related to the kddcup-land_vs_portsweep data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here.
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