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State and explain some possible reasons why AI model is not efficient.

Topic Evaluation (project cycle)
Type  Short  Answer Type
Class 10
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The possible reasons for AI model not being efficient are:

1. Lack of training data: This refers to the situation when data is not satisfactory as per requirement or data is not used properly means something is missing from it, and the model won’t be efficient.

2. Unauthenticated Data/Wrong Data: For getting good results and predictions data must be authenticated and correct. Unauthenticated data may not help in getting good results.

3. Inefficient Coding/Wrong Algorithm: For preparing a good model, coding or algorithm is necessary. The coding or algorithm should be written appropriately. If coding and algorithm are not accurate or appropriate the model will not generate the desired output.

4. Less Accuracy


Study more about Evaluation at Evaluation Class 10

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