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FE: Categorization (numerical data)
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# read training data
train <- read.csv("train.csv")
train <- train[, -seq(21,ncol(train)-1)]
str(train)
# read test data
test_X <- read.csv("test.csv")
test_X <- test_X[, -seq(21,ncol(test_X))]
str(test_X)
# separate dep and indep vars
train_X <- subset(train, select = -c(SalePrice))
train_y <- train$SalePrice
# take subset
train_X_bin <- train_X[, c("LotArea", "MSSubClass")]
test_X_bin <- test_X[, c("LotArea", "MSSubClass")]