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# Recombine Test + Training ———————————————–
a <- cbind(x1, y1)
b <- cbind(x, y)
a <- cbind(x1, y1)
b <- cbind(x, y)
a$actual <- a$y1
b$actual <- b$y
a$y1 <- NULL
b$y <- NULL
c <- rbind(a, b)
# Run Predictions for Entire Data Set ————————————-
all_preds <- predict(rf, newdata = c, type = “prob”)
colSums(all_preds)
summary(c$actual)
c$predicted <- apply(all_preds, 1, which.max)
then you can replace the column number with the descriptive category name or whatever
NOTE: This is NOT the same result that you’ll get by doing colSums on the “prob” type prediction, however
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