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Hey Ram,
Your target is usually the last column, but that is just convention. The target is just whatever you want to predict with the given information.
You are correct in that you don't want to predict "is incident", because everything is an incident. To do that, you would need all the other "non-incidents" so that the algorithm could compare the two.
It sounds like you want to predict probabilities for the next incident. Take a look at the sample notebook in Sagemaker "Predicting driving speed violations with the Amazon SageMaker DeepAR algorithm". In that example, they use past traffic violations to predict future violations. You can get to it from the "SageMaker JumpStart" menu under "Models, notebooks, solutions". You can read more about it here (about half way down the page) : https://aws.amazon.com/blogs/machine-learning/illustrative-notebooks-in-amazon-sagemaker-jumpstart/
Thanks, Jim, for your reply. Let me have a look. One side question, I can see Sagemaker is creating feature10,11,12 in the Model explainability page. Where can i find the mapping for feature10,11,12 ?
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