Oh, I thought it also represented the individual columns. Actually, I’m new in data mining practices. My intention is to predict what could the " not specified " records of passengers’ travel purpose be. I used the random forest model for the classification. But I guess this is not how I can predict a specific outcome (“not specified” since this model only divides the dataset as train and test data and then predicts the already labeled entries. I am confused about how to interpret my findings actually.
Here is my model
According to this confusion matrix
I intended to interpret as "the model predicted 446 “not specified” labeled entries is predicted as “leisure”, 33 entries as “work”,… "
but it sounds quite odd to me, it feels like I’m mistaken.