predict the classes using trained algorithms and give cnfusion matrix in return

predict the classes using trained algorithms and give cnfusion matrix in return

BuildPrediction(x)

Arguments

x

input is a dataframe for bag of word file in which columns are the terms and row are binary variable 1 if that term exist in that data instance

Value

3 confusion matrix for each trained classification algorithm

Examples

# NOT RUN {
library(SentiAnalyzer)
csv_data <- read.csv(system.file(package = "SentiAnalyzer", "extdata/testing.csv"))
my_training_data <- BuildPrediction(csv_data)
# }

# Predicted_obj <- BuildPrediction(csv_data)