Prediction Tree of DHCP

Back to Report

Prediction Tree of DHCP

Text based Description

[1] root
  | [2] DNS in N
  | | [3] Active_Directory in N
  | | | [4] VLANs in N
  | | | | [5] OCP in N
  | | | | | [6] SAN in N: N (n = 183746, err = 0.0%)
  | | | | | [7] SAN in Y
  | | | | | | [8] TCP_Slash_IP in N: N (n = 4039, err = 0.6%)
  | | | | | | [9] TCP_Slash_IP in Y
  | | | | | | | [10] Visual_Basic in N
  | | | | | | | | [11] CCNP in N: N (n = 127, err = 2.4%)
  | | | | | | | | [12] CCNP in Y: Y (n = 12, err = 8.3%)
  | | | | | | | [13] Visual_Basic in Y: Y (n = 10, err = 0.0%)
  | | | | [14] OCP in Y
  | | | | | [15] Yau_Tsim_Mong_Area in N: N (n = 306, err = 2.0%)
  | | | | | [16] Yau_Tsim_Mong_Area in Y: Y (n = 10, err = 0.0%)
  | | | [17] VLANs in Y: N (n = 10, err = 30.0%)
  | | [18] Active_Directory in Y
  | | | [19] Delphi in N
  | | | | [20] PMP in N: N (n = 3106, err = 1.4%)
  | | | | [21] PMP in Y
  | | | | | [22] Windows_Server in Y: N (n = 17, err = 0.0%)
  | | | | | [23] Windows_Server in N: Y (n = 9, err = 11.1%)
  | | | [24] Delphi in Y: Y (n = 18, err = 22.2%)
  | [25] DNS in Y
  | | [26] MCSE in N
  | | | [27] in_Hyphen_house in N
  | | | | [28] web_application in N: N (n = 781, err = 4.0%)
  | | | | [29] web_application in Y
  | | | | | [30] Mandarin in N: N (n = 39, err = 0.0%)
  | | | | | [31] Mandarin in Y: Y (n = 25, err = 8.0%)
  | | | [32] in_Hyphen_house in Y
  | | | | [33] Linux in N: N (n = 11, err = 0.0%)
  | | | | [34] Linux in Y: Y (n = 15, err = 0.0%)
  | | [35] MCSE in Y
  | | | [36] Cantonese in Y: N (n = 11, err = 0.0%)
  | | | [37] Cantonese in N
  | | | | [38] Degree in N
  | | | | | [39] MCP in N: N (n = 15, err = 26.7%)
  | | | | | [40] MCP in Y: Y (n = 9, err = 0.0%)
  | | | | [41] Degree in Y: Y (n = 41, err = 0.0%)
 
  Number of inner nodes: 20
  Number of terminal nodes: 21

Visualize cross-validation results


Created by Mr. Cyrus Wong, Data Scientist.
For update, please join the IVE - Information Technology Facebook page.
For technical explanation, please join the Report Facebook page.
For discussion, please join my facebook group or linkedin me.

Sponsored by:

Amazon web Services   Cloudera   Lively Impact JobsDB.com Open Data Hong Kong IVE IT Discipline

supported by AWS in Education Grant award