The Ultimate Supervised Learning Quiz: Are You Ready?
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What is supervised learning?
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Training on unlabeled data
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Training on labeled data
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A type of reinforcement learning
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A type of unsupervised learning
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"The Ultimate Supervised Learning Quiz: Are You Ready?" is a comprehensive test covering critical aspects of supervised learning. With 10 multiple-choice questions, the Supervised Learning Quiz delves into understanding the essence of supervised learning, exploring types like regression, key algorithms like Decision Trees, and concepts like overfitting and underfitting. This quiz also navigates through the confusion matrix, Support Vector Machines, and AdaBoost, providing extensive insight into this machine-learning approach. It concludes with an understanding of how Decision Trees make predictions and their potential pitfalls. This quiz is an excellent tool to gauge your grasp of supervised learning.
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- 2.
Which of the following is a type of supervised learning?
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Clustering
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Dimensionality Reduction
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Regression
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None of the above
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- 3.
Which of the following best describes the term 'underfitting' in supervised learning?
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When a model learns too much detail
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When a model learns too little detail
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When a model is too complex
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When a model is too simple
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- 4.
How are the predictions made in a Decision Tree algorithm?
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Based on nearest neighbors
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Based on tree-like model structure
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Based on density
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Based on distance from centroids
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- 5.
Which algorithm is commonly used for classification in supervised learning?
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K-Means
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DBSCAN
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Decision Tree
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None of the above
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- 6.
Which algorithm is used for boosting in supervised learning?
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Naive Bayes
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AdaBoost
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Random Forests
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K-Means
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- 7.
Which of the following is a drawback of Decision Trees?
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They are prone to overfitting
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They can only handle numeric data
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They are sensitive to outliers
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All of the above
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- 8.
What is the goal of a confusion matrix in supervised learning?
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To visualize the performance of an algorithm
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To reduce computational complexity
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To improve data visualization
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All of the above
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- 9.
What does the Support Vector Machine (SVM) algorithm do in supervised learning?
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Group similar data
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Predict future data
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Classify data
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Generate new data
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- 10.
In the context of supervised learning, what is overfitting?
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When a model performs well on unseen data
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When a model performs poorly on unseen data
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When a model learns too much detail
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When a model learns too little detail
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Quiz Review Timeline (Updated): Aug 3, 2023 +
Our quizzes are rigorously reviewed, monitored and continuously updated by our expert board to maintain accuracy, relevance, and timeliness.
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Current Version
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Aug 03, 2023Quiz Edited by
ProProfs Editorial Team -
Aug 02, 2023Quiz Created by
Madhurima Kashyap
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