decision-tree

问题 I am trying to edit the esthetics of the terminal node to: Increase the size of the box such that the full names are listed inside of it. If possible, justify the text inside when in the presence of unequal regressors' name lengths to produce a table-like view of the terminal nodes. Below I listed my attempts, using the gp option (fontsize = 10, boxwidth = 10) , but I suspect that I am using the wrong esthetics options. The mysummary function is highly inspired in this question. library(

问题 I am trying to edit the esthetics of the terminal node to: Increase the size of the box such that the full names are listed inside of it. If possible, justify the text inside when in the presence of unequal regressors' name lengths to produce a table-like view of the terminal nodes. Below I listed my attempts, using the gp option (fontsize = 10, boxwidth = 10) , but I suspect that I am using the wrong esthetics options. The mysummary function is highly inspired in this question. library(

问题 Issue I am attempting to undertake an analysis using the Tidymodels Package in R . I am following this tutorial below regarding decision tree learning in R:- Tutorial https://bcullen.rbind.io/post/2020-06-02-tidymodels-decision-tree-learning-in-r/ I have a data frame called FID (see below) where the dependent variable is the frequency (numeric) , and the predictor variables are:- Year (numeric), Month (factor), Monsoon (factor), and Days (numeric). I believe I have successfully followed the

来源： https://stackoverflow.com/questions/55129963/can-graphviz-display-one-hot-decoded-categorical-data

来源： https://stackoverflow.com/questions/55129963/can-graphviz-display-one-hot-decoded-categorical-data

来源： https://stackoverflow.com/questions/53399214/convert-a-decision-tree-to-a-table

来源： https://stackoverflow.com/questions/57940941/what-the-meaning-of-val-in-the-visualization-of-a-lightgbm-tree

问题 When plotting a tree from catboost, it shows val in leaves; what do these values represent? I can't find the answer in their official tutorial on plotting, nor are there any such questions answered anywhere that I could find. Like: LightGBM plot_tree() Leaf numbers What' the meaning of "Val" in the visualization of a lightgbm tree? https://github.com/catboost/catboost/issues?q=plot_tree 来源： https://stackoverflow.com/questions/63407613/catboost-plot-tree-understanding

问题 When plotting a tree from catboost, it shows val in leaves; what do these values represent? I can't find the answer in their official tutorial on plotting, nor are there any such questions answered anywhere that I could find. Like: LightGBM plot_tree() Leaf numbers What' the meaning of "Val" in the visualization of a lightgbm tree? https://github.com/catboost/catboost/issues?q=plot_tree 来源： https://stackoverflow.com/questions/63407613/catboost-plot-tree-understanding

问题 I am attempting to tune an AdaBoost Classifier ("ABT") using a DecisionTreeClassifier ("DTC") as the base_estimator. I would like to tune both ABT and DTC parameters simultaneously, but am not sure how to accomplish this - pipeline shouldn't work, as I am not "piping" the output of DTC to ABT. The idea would be to iterate hyper parameters for ABT and DTC in the GridSearchCV estimator. How can I specify the tuning parameters correctly? I tried the following, which generated an error below. [IN