j48

问题 I have the following code : #load required library library(data.tree) library(entropy) library(RWeka) library(partykit) library(FSelector) library(e1071) library(caret) library(RWekajars) #Load dataset rest_contries <- fromJSON("https://restcountries.eu/rest/v1/all") View(rest_contries) class(rest_contries) dim(rest_contries) cleaned_rest_countries <- rest_contries[,c(1,2,5,6)] View(cleaned_rest_countries) #================ J48 Algorithm ================================================= m <-

问题 I have the following code : #load required library library(data.tree) library(entropy) library(RWeka) library(partykit) library(FSelector) library(e1071) library(caret) library(RWekajars) #Load dataset rest_contries <- fromJSON("https://restcountries.eu/rest/v1/all") View(rest_contries) class(rest_contries) dim(rest_contries) cleaned_rest_countries <- rest_contries[,c(1,2,5,6)] View(cleaned_rest_countries) #================ J48 Algorithm ================================================= m <-

问题 I have a school project to make a program that uses the Weka tools to make predictions on football (soccer) games. Since the algorithms are already there (the J48 algorithm), I need just the data. I found a website that offers football game data for free and I tried it in Weka but the predictions were pretty bad so I assume my data is not structured properly. I need to extract the data from my source and format it another way in order to make new attributes and classes for my model. Does

问题 If you run the following: library(RWeka) data(iris) res = J48(Species ~., data = iris) res will be a list of class J48 inheriting from Weka_tree . If you print it R> res J48 pruned tree ------------------ Petal.Width <= 0.6: setosa (50.0) Petal.Width > 0.6 | Petal.Width <= 1.7 | | Petal.Length <= 4.9: versicolor (48.0/1.0) | | Petal.Length > 4.9 | | | Petal.Width <= 1.5: virginica (3.0) | | | Petal.Width > 1.5: versicolor (3.0/1.0) | Petal.Width > 1.7: virginica (46.0/1.0) Number of Leaves :