In ______________model. design is adaptive to change in data, which results in dynamicity of a Learning-based Approach Data Acquisition (b) Rule-based Approach (d) Data Modelling (c)
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Answer:
b) Rule-based approach :D
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Answer: Rule based Approach
Explanation:
- Because the architecture may be adjusted to accommodate changes in the data, a model is dynamic under the Rule-based Approach.
- In rule-based modeling, an AI technique, the correlations or patterns in the data are specified by the developer.
- That proves that the gadget follows the instructions and information that its designer gave it.
- For illustration: Consider a dataset that has 100 images of each apple and banana.
- The computer vision-built machine has now been taught using the labeled images of apples and bananas.
- If you test your system with an image of an apple, it will give you the results by comparing the pictures in its databases.
- Here, the Rule-Based Approach is employed.
We will deal with two dataset splits in the rule-based approach:
- 1. Training Data - A portion needed to build the model
- 2. Testing Data: A subset is needed to check the trained model.
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