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We have a pretty simple R forecasting problem, using randomForest. Our script is below. We have data with about 6 columns, and 625 rows to do the training on, and then we're trying to forecast 90 or so rows. The x matrix has 3 years worth of sales data, starting at 6:15am. However, for some reason, it's always returning a "1", when predicting any data. I've tried

Hi there, We're trying to use randomForest to do some predictions. The test-harness for our code is pretty straightforward: library ('randomForest'); data202 <- read.csv ("random.csv", header=TRUE); x<- data202[1:50000,1:6]; y<- data202[1:50000,8]; y<- y[,drop=TRUE]; x2 <- data202[50001:60000,1:6]; y2 <- data202[50001:60000,8]; y2 <-