Run Code
|
API
|
Code Wall
|
Misc
|
Feedback
|
Login
|
Theme
|
Privacy
|
Patreon
Multinomial Logistic Regression Sample
#R version 3.3.2 data(iris) str(iris) attach(iris) library(nnet) names(iris) levels(Species) #Creating the Model DV=relevel(Species, ref="setosa") Mod=multinom(DV~Sepal.Length+Sepal.Width+Petal.Length+Petal.Width) summary(Mod) #Classification by the model Predict=predict(Mod, iris) Prob=predict(Mod, iris, type="prob") #Check for misclassification Tab=table(predict(Mod), iris$Species) Tab
run
|
edit
|
history
|
help
0
Correlation
Mandelbrot 2
Tournois Mount & Blade
AjusteLinearizado-09-01-21
Julia set variant 2
Gab1A
Zac2
iron-anova-dbc
Gamma
library(datasets) #Base de datos