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Decision Tree without a label... is it possible?
I was successful in comparing the models with ROC. Among decision tree, random forest, k-NN, rule induction, and naive Bayes, I figured out that Decision Tree is the best.
The next part of the task is to apply the best model to another dataset, but here the target is missing. Now I have again the 11 columns, but no column for the heart attack, as the model is supposed to predict it.
The process will not run because the Decision Tree requires a label. The same problem appears with any of the mentioned models. So, how do I solve this?
Please keep in mind that this is a school example, thus the datasets are very clean. Sadly, I am not allowed to share it.
I have a deadline to meet, so pleeeease help me!!
Thank all of you in advance.