Informatics Practices
Assertion (A): Machine Learning comprises algorithms that use data to learn on their own and make predictions.
Reasoning (R): Machine Learning models are first trained using training data and tested using testing data and, after successive trainings, give results with accuracy.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
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Answer
Both A and R are true and R is the correct explanation of A.
Explanation
Machine learning is an application of artificial intelligence. It consists of several algorithms that use data to learn on their own and make certain predictions. These algorithms, called models, are first trained and tested using training and testing data, respectively. After successive trainings, once these models are able to give results to an acceptable level of accuracy, they are used to make predictions about new and unknown data.
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