DataPartition

A <code>data.frame</code> that contains the study&lt;U+2019&gt;s features and the outcome variable.

data

A character string with the name of the outcome variable from the data.

outcome

A numeric value for the proportion of data to be put into model training. Default is set to 0.7.

proportion

A numeric value for set.seed. It is set to be 2022 by default.

seed

Enables researchers to model log-file data from computer-based assessments using machine-learning techniques. It allows researchers to generate new knowledge by comparing the performance of three tree-based classification models (i.e., decision trees, random forest, and gradient boosting) to predict student's outcome. It also contains a set of handful functions for the analysis of the features' influence on the modeling. Data from the Climate control item from the 2012 Programme for International Student Assessment (PISA, <https://www.oecd.org/pisa/>) is available for an illustration of the package's capability. He, Q., & von Davier, M. (2015) <doi:10.1007/978-3-319-19977-1_13> Boehmke, B., & Greenwell, B. M. (2019) <doi:10.1201/9780367816377> .

DataPartition: Data Partition

Description

Usage

Arguments

Value

Examples