tag:blogger.com,1999:blog-3529514867886665230.post4264819879987755463..comments2020-05-26T02:59:21.709-07:00Comments on Data Science Notes: Data Vis for Algorithms: plotmo and fancyRpartPlotUnknownnoreply@blogger.comBlogger3125tag:blogger.com,1999:blog-3529514867886665230.post-28327777926518360882015-02-03T06:22:33.858-08:002015-02-03T06:22:33.858-08:00Great question, the numbers aren't clearly lab...Great question, the numbers aren't clearly labeled. In my case, my tree is trained on a simple 0/1 binary dependent variable. The number at the top of each node is the density (average) of the dependent variable for that node. The exponential number at lower left is the number of observations that for into that node. The percent at lower right is the percent of the total population that fits into that node. So starting at my top nice, you see that my entire population involves 38k observations, with a .39 dependent average, which accounts for 100% of the total populationLbhttps://www.blogger.com/profile/12651691260826172637noreply@blogger.comtag:blogger.com,1999:blog-3529514867886665230.post-27845743042419820142015-02-03T06:17:08.266-08:002015-02-03T06:17:08.266-08:00This comment has been removed by the author.Lbhttps://www.blogger.com/profile/12651691260826172637noreply@blogger.comtag:blogger.com,1999:blog-3529514867886665230.post-44955148959027138282015-02-03T04:44:44.159-08:002015-02-03T04:44:44.159-08:00Hello, for the fancyRpartPlot I get a similar resu...Hello, for the fancyRpartPlot I get a similar result like yours. With n=16+3 and 45% for example. What does this mean? I don't understand it at all because the examples on many websites look differently and a bit more logical to me. For example, like this: http://media.tumblr.com/a9f482ff88b0b9cfaffca7ffd46c6a8e/tumblr_inline_mz7pyuaYJQ1s5wtly.png<br />Can you please explain what the n=16e+3 part and the percentage mean? And why it's different than the example I showed you?<br />I would be very gratefulAnonymousnoreply@blogger.com