Jump to content

Decision tree: Revision history


For any version listed below, click on its date to view it. For more help, see Help:Page history and Help:Edit summary. (cur) = difference from current version, (prev) = difference from preceding version, m = minor edit, → = section edit, ← = automatic edit summary

(newest | oldest) View (newer 50 | ) (20 | 50 | 100 | 250 | 500)

20 October 2024

  • curprev 14:4914:49, 20 October 2024 85.255.235.196 talk 26,061 bytes +14 By default definitions, a decision tree does not contain any inherent hierarchy or ordering of importance which “hierarchy” would imply. It’s more about successive refinement of a decision process, where each split provides more localized rules that partition the data into finer categories. Thus, the tree can be seen as a set of nested, conditional regions rather than a hierarchy with ordered layers of importance. undo Tags: Visual edit Mobile edit Mobile web edit

1 July 2024

20 May 2024

16 May 2024

21 March 2024

19 March 2024

3 February 2024

1 October 2023

28 September 2023

15 September 2023

12 July 2023

11 July 2023

2 July 2023

31 May 2023

23 May 2023

14 May 2023

5 May 2023

2 April 2023

  • curprev 22:4722:47, 2 April 2023 176.27.116.47 talk 24,781 bytes +14 Tool isn't precise here and too general. While decision trees can be used as decision support tools, they are also mathematical models that can be used to represent and analyze complex decision-making problems. undo

8 February 2023

23 October 2022

16 October 2022

27 August 2022

18 August 2022

29 July 2022

6 June 2022

1 June 2022

30 May 2022

15 April 2022

28 March 2022

16 March 2022

11 March 2022

20 February 2022

6 February 2022

13 December 2021

11 December 2021

(newest | oldest) View (newer 50 | ) (20 | 50 | 100 | 250 | 500)