tag:blogger.com,1999:blog-4509736829271344872.post8005267836905091264..comments2024-03-02T03:24:43.931-05:00Comments on Advanced Analytic Techniques: Simplifying Decision TreesKristan J. Wheatonhttp://www.blogger.com/profile/02566135545863154089noreply@blogger.comBlogger5125tag:blogger.com,1999:blog-4509736829271344872.post-4939756607491020932019-07-03T03:29:23.924-04:002019-07-03T03:29:23.924-04:00A decision tree is a visual model for decision mak...A decision tree is a visual model for decision making which represents consequences, including chance event outcomes, resource costs, and utility. It is also one way to display an algorithm that only contains conditional control statements. Making decision trees are super easy with a <a href="https://creately.com/lp/decision-tree-maker-online/" rel="nofollow">decision tree maker</a> with free templates. Evan Raymondshttps://www.blogger.com/profile/08028609946052464211noreply@blogger.comtag:blogger.com,1999:blog-4509736829271344872.post-48107188089633008002017-09-18T20:22:50.807-04:002017-09-18T20:22:50.807-04:00I agree on all points here. This article seems to ...I agree on all points here. This article seems to stress decision trees in a qualitative, tinking/mind mapping tool sense. Where as these methods couldn't really be applied in the study Jared posted about(The classification of Japanese names). I think that it would be interesting to see this process applied to like an ACH where evidence can get out of control. Anonymoushttps://www.blogger.com/profile/15637874953062063103noreply@blogger.comtag:blogger.com,1999:blog-4509736829271344872.post-14116554342956076842017-09-18T18:17:07.092-04:002017-09-18T18:17:07.092-04:00I share Ian's point. My concern is that some r...I share Ian's point. My concern is that some researchers may attempt to over-simplify variables within their decision trees. Reliability of decision trees depend on feeding precise information during the onset. Efforts to simplify a decision tree through pruning could result in classification errors, and thus should be used with caution. Furthermore, although decision trees follow a natural course of events by tracing relevant relationships between events,it may not be possible to plan for all contingencies that may arise from a decision, and such oversight can lead to bad decisions.Anonymoushttps://www.blogger.com/profile/08345207198506122390noreply@blogger.comtag:blogger.com,1999:blog-4509736829271344872.post-72443407437103596502017-09-17T10:16:47.539-04:002017-09-17T10:16:47.539-04:00The article does a good job breaking down the deci...The article does a good job breaking down the decision tree process without complexities. The pruning methods are very practical as describes and helps to streamline the process. In the cost-complexity pruning, was there any mention in the article about how the "best of their kind" is determined? Any specific parameters? Oddi Onyemenemhttps://www.blogger.com/profile/10637331611454187250noreply@blogger.comtag:blogger.com,1999:blog-4509736829271344872.post-28719069849788769862017-09-14T19:17:08.098-04:002017-09-14T19:17:08.098-04:00As a visualization technique I believe that decisi...As a visualization technique I believe that decisions tress are much like mind mapping in they allow you to see how ideas are connected and categorized. However, as an analytical method while having some good applications it must be used with caution. Much like an analysis one will take the low valued information and either group it or discard it. However if used without care especially in an analytical work it pruning could take out information that could impact both the words of estimative probability used along with analytic confidence. Anonymoushttps://www.blogger.com/profile/02785423681619476179noreply@blogger.com