I'm trying to classify some data using SVM in R.
The data set:
D1 | D2 | D3 | word1 | word2 |...
1 | 2 | 3 | 0 | 1 |
3 | 2 | 1 | 1 | 0 |
D1, D2, D3 take values from 0 to 9 and each word takes a 0/1 value.
First I want to build a classificator that predicts D1 based on word1, word2, etc. Then I want to build a classificator that predicts D2 based on what it predicted in D1 and the words (D1, D2 and D3 used to be a single number of 3 digits).
So far I have:
trainD1 <- train[,-1]
trainD1$D2 <- NULL
trainD1$D3 <- NULL
modelD1 <- svm( train$D1~., trainD1, type="C-classification")
But I'm completly lost, any help is welcome. Thanks