Keyword Analysis & Research: createdatapartition


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createdatapartition1.760.1366673
createdatapartition r package1.830.7696083
createdatapartition stratified0.970.5393089
createdatapartition p 0.8 list false1.190.650759
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  • createDataPartition function - RDocumentation

    rdocumentation.org

    https://www.rdocumentation.org/packages/caret/versions/6.0-94/topics/createDataPartition

    WEBDescription. A series of test/training partitions are created using createDataPartition while createResample creates one or more bootstrap samples. createFolds splits the data into k groups while createTimeSlices creates cross-validation split for series data. groupKFold splits the data based on a grouping factor.

    DA: 27 PA: 73 MOZ Rank: 44

  • How to Use createDataPartition() Function in R - Statology

    statology.org

    https://www.statology.org/createdatapartition-in-r/

    WEBDec 13, 2022 · You can use the createDataPartition() function from the caret package in R to partition a data frame into training and testing sets for model building. This function uses the following basic syntax: createDataPartition(y, times = 1, p = 0.5, list = TRUE, …) where: y: vector of outcomes; times: number of partitions to create

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  • createDataPartition : Data Splitting functions - R Package …

    rdrr.io

    https://rdrr.io/rforge/caret/man/createDataPartition.html

    WEBMay 2, 2019 · Description. A series of test/training partitions are created using createDataPartition while createResample creates one or more bootstrap samples. createFolds splits the data into k groups while createTimeSlices creates cross-validation sample information to be used with time series data.

    DA: 19 PA: 18 MOZ Rank: 30

  • 4 Data Splitting | The caret Package - GitHub Pages

    github.io

    https://topepo.github.io/caret/data-splitting.html

    WEBThe function createDataPartition can be used to create balanced splits of the data. If the y argument to this function is a factor, the random sampling occurs within each class and should preserve the overall class distribution of the data. For example, to create a single 80/20% split of the iris data:

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  • How to Use createDataPartition() Function in R - Life With Data

    lifewithdata.com

    https://lifewithdata.com/2023/09/26/how-to-use-createdatapartition-function-in-r/

    WEBSep 26, 2023 · The createDataPartition() function, part of the caret package in R, is a versatile tool in the data scientist’s toolkit. It is instrumental in creating stratified data partitions, ensuring the preservation of the proportional representation of classes (i.e., outcome variable levels) in both training and test datasets, a crucial step in ...

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  • Data Splitting functions — createDataPartition • caret - HAOEN CUI

    github.io

    https://haoen-cui.github.io/SOA-Exam-PA-R-Package-Documentation/caret/reference/createDataPartition.html

    WEBA series of test/training partitions are created using createDataPartition while createResample creates one or more bootstrap samples. createFolds splits the data into k groups while createTimeSlices creates cross-validation split for series data. groupKFold splits the data based on a grouping factor.

    DA: 6 PA: 78 MOZ Rank: 20

  • How to Use createDataPartition() Function in R | Online Statistics

    statisticalpoint.com

    https://statisticalpoint.com/createdatapartition-in-r/

    WEBJan 17, 2023 · You can use the createDataPartition () function from the caret package in R to partition a data frame into training and testing sets for model building. This function uses the following basic syntax: createDataPartition (y, times = 1, p = 0.5, list = TRUE, …) where: y: vector of outcomes. times: number of partitions to create.

    DA: 52 PA: 82 MOZ Rank: 20

  • 5 Model Training and Tuning | The caret Package - GitHub Pages

    github.io

    http://topepo.github.io/caret/model-training-and-tuning.html

    WEBThe function createDataPartition can be used to create a stratified random sample of the data into training and test sets: library (caret) set.seed ( 998 ) inTraining <- createDataPartition (Sonar $ Class, p = .75 , list = FALSE ) training <- Sonar[ inTraining,] testing <- Sonar[ - inTraining,]

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  • R: Data Partitioning

    r-project.org

    https://search.r-project.org/CRAN/refmans/deforestable/html/createDataPartition.html

    WEBcreateDataPartition returns a list of data partitions. Each partition consists of 4 sets- forest training, non-forest training, forest test and non-forest test set. createFolds returns lists $forest and $nonforest with k folds in each of them. Functions. createFolds(): Split data into folds. Examples. library(deforestable)

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  • A basic tutorial of caret: the machine learning package in R

    rebeccabarter.com

    https://rebeccabarter.com/blog/2017-11-17-caret_tutorial

    WEBNov 17, 2017 · Generating subsets of the data is easy with the createDataPartition function. While this function can be used to simply generate training and testing sets, it can also be used to subset the data while respecting …

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