Artificial Intelligence & Machine Learning
Identify the correct definition of Underfitting.
Difficulty: Medium
- A. A portion of a dataset set aside and not used during training, used to evaluate a model's final performance.
- B. A modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data. ✓
- C. A field of AI that enables computers to interpret and understand visual information from images or video.
- D. A type of neural network designed to recognize patterns in sequential data by maintaining memory of previous inputs.
Correct answer
B. A modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.
Explanation
Underfitting refers to a modeling error where a model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and new data.
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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