Question

Which is an example of noisy data in data sources? A. Age: 987 B. Gender: Male C. First Name: Gary D. Last Name: Santiago E. Education: Masters (Bioinformatics)

Answer 1

it is B

Step-by-step explanation:

Differences in real-world measured data from the true values come from multiple factors affecting the measurement. Random noise is often a large component of the noise in data. Random noise in a signal is measured as the Signal-to-Noise Ratio. Random noise contains almost equal amounts of a wide range of frequencies and is called white noise.

A large number of components determine the quality of a dataset. Among them, the class labels and the attribute values directly influence the quality of a classification dataset. The quality of the class labels refers to whether the class of each example is correctly assigned; otherwise, the quality of the attributes refers to their capabilit.

This occurs when an example is incorrectly labeled. Class noise can be attributed to several causes, such as subjectivity during the labeling process, data entry errors, or inadequate information used to label each example. Class noise is further divided into two types, such as: 1. Contradictory examples:Duplicate examples have different class lables.