COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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yes-it gets it right all the time
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no-it sometimes makes mistakes even after it has been trained
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Either A or B
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None of the above
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Detailed explanation-1: -Accuracy comes out to 0.91, or 91% (91 correct predictions out of 100 total examples).
Detailed explanation-2: -Overfitting occurs when our machine learning model tries to cover all the data points or more than the required data points present in the given dataset. Because of this, the model starts caching noise and inaccurate values present in the dataset, and all these factors reduce the efficiency and accuracy of the model.
Detailed explanation-3: -Expert-Verified Answer. The statement i.e. not true about the machine learning is that Machine learning gives computers the ability to make decision by writing down rules and methods and being explicitly programmed.
Detailed explanation-4: -There are five process issues: not qualifying the use case, not understanding the user, developing technology for technology’s sake, not using existing solutions, and not performing failure analysis.