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Questions and Answers
What is the purpose of dividing the data into an 80:20 ratio?
What is the purpose of dividing the data into an 80:20 ratio?
- To use 80% for training the algorithm and 20% for testing its accuracy (correct)
- To ensure the accuracy of the data
- To simplify the algorithm learning process
- To use 20% for training the algorithm and 80% for testing its accuracy
What is the purpose of feeding the test data to the machine?
What is the purpose of feeding the test data to the machine?
- To train the algorithm further
- To simplify the testing process
- To verify the labeled data
- To check the accuracy of the algorithm's output (correct)
What happens if the model's accuracy is not satisfactory during testing?
What happens if the model's accuracy is not satisfactory during testing?
- The algorithm is tweaked to improve the accuracy (correct)
- The algorithm is simplified to reduce errors
- The model is discarded and a new one is built
- The test data is modified to fit the algorithm
What is the purpose of the labeled data in the AI learning process?
What is the purpose of the labeled data in the AI learning process?
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What role does the 80% of data play in the AI learning process?
What role does the 80% of data play in the AI learning process?
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