Question

, why does a lack of proper training often result in the failure of a new system?

Answer 1

Ans: as from the given question, I can predict you are talking related to machine learning model if we don't train the model properly it will give us output opposite to what we expect. The reason behind this, if we don't understand the problem clearly , or the features which we are selecting for training the model is not proper it will lead to failure of new system.

Hence before training a model, understanding the problem and the reprocessing steps which we are required should be done properly and selection of proper features and selection of proper algorithm is required.

I hope this helps you give an upvote!!