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San Jose State UniversitySJSU ScholarWorks Faculty Research, Scholarly, and Creative Activity 812024KritiSamhita: A machine learning dataset of South Indian classical music audio clips with tonic
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What is a machine learning dataset?
A machine learning dataset is a collection of data used to train and evaluate machine learning models. It typically includes input features and corresponding output labels for supervised learning.
Who is required to file a machine learning dataset?
Individuals or organizations that develop machine learning models for regulated use cases or those that are subject to specific industry standards may be required to file a machine learning dataset.
How to fill out a machine learning dataset?
To fill out a machine learning dataset, ensure that the data is accurately labeled, formatted correctly, and includes all necessary features and target variables, along with proper documentation describing the data.
What is the purpose of a machine learning dataset?
The purpose of a machine learning dataset is to provide a structured source of data for training, validating, and testing machine learning algorithms, enabling them to make accurate predictions or classifications.
What information must be reported on a machine learning dataset?
Information that must be reported typically includes data source, data types, feature descriptions, target outcomes, data splits (training, validation, test), and any preprocessing steps applied.
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