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What do you think are the criteria to say whether a developed data model is good or not?
data expert
Well, the answer to this question may vary from person to person. But below are a few criteria which I think are a must to be considered to decide whether a developed data model is good or not:
A model developed for the dataset should have predictable performance. This is required to predict the future.
A model is said to be a good model if it can easily adapt to changes according to business requirements.
If the data gets changed, the model should be able to scale according to the data.
The model developed should also be able to easily consumed by the clients for actionable and profitable results.
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