COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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The key challenge to successfully train a machine learning model
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Feature engineering and selection
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Selection of the algorithm
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Tuning of the hyperparameters
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Evaluation of the metrics
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All the above
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Explanation:
Detailed explanation-1: -Poor Quality of data. Irrelevant features. Nonrepresentative training data. Overfitting and Underfitting.
Detailed explanation-2: -Noisy data, incomplete data, inaccurate data, and unclean data lead to less accuracy in classification and low-quality results. Hence, data quality can also be considered as a major common problem while processing machine learning algorithms.
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