Other packages > Find by keyword >

DriveML  

Self-Drive Machine Learning Projects
View on CRAN: Click here


Download and install DriveML package within the R console
Install from CRAN:
install.packages("DriveML")

Install from Github:
library("remotes")
install_github("cran/DriveML")

Install by package version:
library("remotes")
install_version("DriveML", "0.1.5")



Attach the package and use:
library("DriveML")
Maintained by
Dayanand Ubrangala
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-04
Latest Update:
Description:
Implementing some of the pillars of an automated machine learning pipeline such as (i) Automated data preparation, (ii) Feature engineering, (iii) Model building in classification context that includes techniques such as (a) Regularised regression [1], (b) Logistic regression [2], (c) Random Forest [3], (d) Decision tree [4] and (e) Extreme Gradient Boosting (xgboost) [5], and finally, (iv) Model explanation (using lift chart and partial dependency plots). Accomplishes the above tasks by running the function instead of writing lengthy R codes. Also provides some additional features such as generating missing at random (MAR) variables and automated exploratory data analysis. Moreover, function exports the model results with the required plots in an HTML vignette report format that follows the best practices of the industry and the academia. [1] Gonzales G B and De Saeger (2018) , [2] Sperandei S (2014) , [3] Breiman L (2001) , [4] Kingsford C and Salzberg S (2008) , [5] Chen Tianqi and Guestrin Carlos (2016) .
How to cite:
Dayanand Ubrangala (2020). DriveML: Self-Drive Machine Learning Projects. R package version 0.1.5, https://cran.r-project.org/web/packages/DriveML. Accessed 27 Aug. 2026.
Previous versions and publish date:
0.1.0 (2020-06-04 11:50), 0.1.2 (2021-03-09 10:10), 0.1.3 (2021-06-14 10:20), 0.1.4 (2021-10-18 13:10), 0.1.5 (2022-12-02 12:20), (2026-07-09 08:02)
Other packages that cited DriveML R package
View DriveML citation profile
Other R packages that DriveML depends, imports, suggests or enhances
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
BetterReg  
Better Statistics for OLS and Binomial Logistic Regression
Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and ...
Download / Learn more Package Citations See dependency  
lmmpar  
Parallel Linear Mixed Model
Embarrassingly Parallel Linear Mixed Model calculations spread across local cores which repeat until ...
Download / Learn more Package Citations See dependency  
ROI.plugin.qpoases  
'qpOASES' Plugin for the 'R' Optimization Infrastructure
Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'qpOASES'. M ...
Download / Learn more Package Citations See dependency  
IntervalQuestionStat  
Tools to Deal with Interval-Valued Responses in Questionnaires
A user-friendly toolbox for doing the statistical analysis of interval-valued responses in question ...
Download / Learn more Package Citations See dependency  
robustX  
'eXtra' / 'eXperimental' Functionality for Robust Statistics
Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA