The issue is that the test1 data frame contains some rows with missing values in the target variable my_label, which are causing the incomplete cases. These rows should be removed before training the model.

To fix this, you can remove the rows with missing values in my_label from the test1 data frame before passing it to the predict function:

predictions_dt <- predict(dt, test1[,-which(names(test1)=="my_label")], type = "class")

By doing this, you will ensure that all rows in the test1 data frame have complete values for the target variable my_label, which is necessary for accurate predictions.

Last modified on 2025-03-08