Machine Learning, Data Science, R Programming, Neural Networks, Towards Data Science.
newdata = pca_testset ) ) new_trainset = train[, 1:9] new_testset = t[, 1:8] # Build the neural network (NN) library( neuralnet ) n = names( new_trainset ) f = as.formula( paste( "class ~", paste( n[!n %in% "class" ], collapse = "+" ) ) ) nn = neuralnet( f, new_trainset, hidden = 4, linear.output =