rf_prediction

0th

Percentile

rf_prediction

generates the code to create the prediction of the random forest model.

Usage
rf_prediction(data = "datos.prueba", variable.pred = NULL,
  model.var = "modelo.rf", pred.var = "prediccion.rf")
Arguments
data

the name of the test data.

variable.pred

the name of the variable to be predicted.

model.var

the name of the variable that stores the resulting model.

pred.var

the name of the variable that stores the resulting prediction.

Aliases
  • rf_prediction
Examples
# NOT RUN {
library(randomForest)
library(dplyr)

x <- rf_model('iris', 'Petal.Length', model.var = 'model_rf')
exe(x)
print(model_rf)

x <- rf_prediction('iris', 'Petal.Length', 'model_rf', 'my_prediction')
exe(x)
print(my_prediction)

# }
Documentation reproduced from package regressoR, version 1.1.7, License: GPL (>= 2)

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