simulatedRankingData {adabag}

Simulated ranking data

Description

The simulatedRankingData dataset is a list that includes the following components:

The ranking matrix, y, contains the ranking matrix. It consists of 500 rows and 4 columns, indicating the ranking positions. Each element in the matrix represents the rank assigned to an individual for a particular item.

The predictor matrix x in the dataset consists of 20 continuous explanatory variables. These variables are used for predicting the rankings.

Usage

data(simulatedRankingData)

References

Albano, A., Sciandra, M., and Plaia, A. (2023): "A weighted distance-based approach with boosted decision trees for label ranking." Expert Systems with Applications.