You are working as a data science consultant for a gaming company. You have three member team and all other stake holders are from the company itself like project managers and project sponsored…

The correct answer is E. Model building. To answer whether the model you are building is robust enough or not you need to have answer below questions at least - Model is performing as expected with the test data or not? - Whatever hypothesis defined in the initial phase is being tested or not? - Do we need more data?…

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Question

You are working as a data science consultant for a gaming company. You have three member team and all other stake holders are from the company itself like project managers and project sponsored, data team etc. During the discussion project managed asked you that when can you tell me that the model you are using is robust enough, after which step you can consider answer for this question?

Options

AData Preparation
BDiscovery
COperationalize
DModel planning
EModel building

How the community answered

(52 responses)

A
2% (1)
B
12% (6)
C
2% (1)
D
6% (3)
E
79% (41)

Explanation

To answer whether the model you are building is robust enough or not you need to have answer below questions at least - Model is performing as expected with the test data or not? - Whatever hypothesis defined in the initial phase is being tested or not? - Do we need more data? - Domain experts are convinced or not with the model? And all these can be answered when you have built the model and tested with the test data sets. Hence, correct option will be Model Building.

Topics

#data analytics lifecycle#model building phase#model robustness#project phases

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