1) Why is this type of machine learning called "supervised learning"? a) Because it is trained on super difficult datasets. b) Because an engineer is involved throughout the learning, labeling the dataset, and correcting the model as it learns. c) Because the model is very young and requires constant supervision.recting the model as it learns. d) Because an engineer watches the model as it learns. 2) What does it mean to label a dataset? a) It means to give each piece of data a text or numeric value that identifies the data. b) It means to specify whether a dataset is useful or not. c) It means to print out each piece of data and then scan it into a computer. d) It is the process of removing unused information in a dataset. 3) If you were labelling a dataset to train an AI model to identify different types of trees, which of these labels would you most likely use? a) Daisy, rose, tulip, poppy, lily b) Trunk, branch, twig, leaf, root c) Elm, pine, spruce, redwood, oak d) Grass, dirt, rock, bark, sand 4) The classification algorithm often uses a decision tree. What is a decision tree? a) A magical tree that makes decisions. b) A method of programming that helps a person grow trees. c) A way of determining an answer by asking many yes/no questions. d) An algorithm that provides random answers to questions. 5) What does the engineer do during the testing stage of supervised learning? a) Labels each item in the dataset. b) Feeds datasets into the model. c) Watches the model as it generates its output. d) Feeds unlabeled data into the model and then monitors the model’s accuracy.

Quiz on Supervised Learning

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