Training, validation, and test data sets
id:
training-validation-and-test-data-sets-181-5991534
title:
Training, validation, and test data sets
text:
In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms function by making data-driven predictions or decisions, through building a mathematical model from input data. These input data used to build the model are usually divided into multiple data sets. In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and test sets. The model is initiall
brand slug:
wiki
category slug:
encyclopedia
description:
Tasks in machine learning
original url:
https://en.wikipedia.org/wiki/Training,_validation,_and_test_data_sets
date created:
2005-02-16T20:20:27Z
date modified:
2024-09-05T21:56:57Z
main entity:
{"identifier":"Q3985153","url":"https://www.wikidata.org/entity/Q3985153"}
image:
fields total:
13
integrity:
15