Multivariate Linear Regression Forward Selection.

Figshare2016-02-22 更新2026-04-29 收录

多层线性回归

特征选择

数据链接：

https://figshare.com/articles/dataset/Multivariate_Linear_Regression_Forward_Selection_/2577073 数据链接链接失效反馈

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资源简介：

Multivariate Linear Regression Forward Selection.

创建时间：

2016-02-22

喇叭花产量预测数据

农业产量预测

多层线性回归

可以用于喇叭花产量预测，输入为土壤类型、肥料使用、灌溉方式、植株高度(cm)、喇叭花茎粗(cm)、叶面积指数、根系长度(cm)、喇叭花产量（产量）、根系主要分布范围(cm)、喇叭花根系数量、根茎长(cm)、叶绿素含量（mg/g）、叶片数量。输出为喇叭花产量预测值。该模型帮助解决了喇叭花产量和喇叭花状况的关系建模的问题，对于预测产量过低则农民可以采取相应的措施来优化种植策略。喇叭花产量的高低不仅仅是

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The highest classification accuracy of each algorithm on each data set and its feature subset length.

机器学习

特征选择

The highest classification accuracy of each algorithm on each data set and its feature subset length.

NIAID Data Ecosystem80

Associations between exposures and academic performance (math or language) analyzed with multi-level linear regression with schools as a cluster.

教育评估

多层线性回归

Associations between exposures and academic performance (math or language) analyzed with multi-level linear regression with schools as a cluster.

NIAID Data Ecosystem50

Galton's Height Data 📏 Multiple linear regression

身高数据

多层线性回归

Parents and their children Height Dataset to Practice Multiple Linear Regression

kaggle2024-11-01 更新120

A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis

蛋白质翻译后修饰

特征选择

Lysine acetylation and ubiquitination are two primary post-translational modifications (PTMs) in most eukaryotic proteins. Lysine residues are targets for both types of PTMs, resulting in different ce

DataCite Commons2024-03-24 更新70

Multivariate Linear Regression Forward Selection.

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