Which of the following statements are true about supervised learning? Supervised learning is called 'supervised', because...
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Which of the following statements are true about supervised learning? Supervised learning is called 'supervised', because it works by leveraging certain domain-based rules provided by the experts before the training phase. Supervised learning models must use categorical descriptive features. A supervised learning model is consistent if there are no instances in the dataset for which the model does not make an incorrect prediction. In the training phase of a supervised learning model, only descriptive features are provided as input. Target variable is not considered. Target variable in a regression model must be categorical. Which of the following statements are true about supervised learning? Supervised learning is called 'supervised', because it works by leveraging certain domain-based rules provided by the experts before the training phase. Supervised learning models must use categorical descriptive features. A supervised learning model is consistent if there are no instances in the dataset for which the model does not make an incorrect prediction. In the training phase of a supervised learning model, only descriptive features are provided as input. Target variable is not considered. Target variable in a regression model must be categorical.
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Related Book For
Fundamentals of Investments Valuation and Management
ISBN: 978-0077283292
5th edition
Authors: Bradford D. Jordan, Thomas W. Miller
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