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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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Why does my model produce too good to be true output?
It sounds like the system can just learn your algorithm for labeling. If that is intended then you can just use that and throw away all the ML. If you want to predict, for example, the diagnosis of ic …