官方服务：
资源简介：
50 Regressors and 50 Classifiers
50个回归器（Regressors）与50个分类器（Classifiers）
应用场景：
创建时间：
2026-06-03
相关数据集
Technical nuances of machine learning: implementation and validation of supervised methods for genomic prediction in plant breeding
Abstract The decision-making process in plant breeding is driven by data. The machine learning framework has powerful tools that can extract useful information from data. However, there is still a lac
NIAID Data Ecosystem50
Paired-sample t-test results for the four performance measures between trained tree-based and non-tree-based supervised machine learning algorithms for the 200 datasets considered in this study.
Paired-sample t-test results for the four performance measures between trained tree-based and non-tree-based supervised machine learning algorithms for the 200 datasets considered in this study.
NIAID Data Ecosystem30
Semantics-aware dataset for the mono-label supervised classification of animals
This image dataset has been derived from Wikimedia Commons (https://commons.wikimedia.org), a large-scale free and collaborative media repository currently including over 92 million items including im
Zenodo2021-02-07 更新30
Models.zip
Contains the source codes of the models used in the PhD thesis (i.e.., Multilayer Perceptron, Long Short-Term Memory, Bidirectional Long Short-Term Memory, Convolutional Neural Network, and Support Ve
DataCite Commons2022-09-22 更新40
Examining influential factors for acknowledgements classification using supervised learning
Acknowledgements have been examined as important elements in measuring the contributions to and intellectual debts of a scientific publication. Unlike previous studies that were limited in the scope o
NIAID Data Ecosystem30
