Question

What are the possible reasons for an AI model not being efficient? Explain.

Topic - Project Cycle 

Type - Short answer 

Answer 1

Reasons of an AI model not being efficient:

1. Lack of Training Data: If the data is not sufficient for developing an AI Model, or if the data is missed while training the model, it will not be efficient.

2. Unauthenticated Data / Wrong Data: If the data is not authenticated and correct, then the model will not give good results.

3. Inefficient coding / Wrong Algorithms: If the written algorithms are not correct and relevant, Model will not give desired output. Not Tested: If the model is not tested properly, then it will not be efficient.

4. Not Easy: If it is not easy to be implemented in production or scalable.

5. Less Accuracy: A model is not efficient if it gives less accuracy scores in production or test data or if it is not able to generalize well on unseen data.

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Study more about Project cycle at Project Cycle Class 10