Targeting predictors in random forest regression

A general framework to quantify the event importance in multi-event contests

“…We estimate the outcomes of football matches following the approach of Goller et al variables remain in the model -the full list of variables, as well as those selected, can be found in Appendix C.2. This model selection procedure is consistent with Borup, Christensen, Mühlbach, and Nielsen (2022), who find that for predictive models with many covariates, variable selection benefits prediction accuracy and usually 10-30%…”

Machine learning advances for time series forecasting

“…Finally, it is worth mentioning the interesting work of Borup et al. (2020). In their paper, the authors show that proper predictor targeting controls the probability of placing splits along strong predictors and improves prediction.…”

Advancement of management information system for discovering fraud in master card based intelligent supervised machine learning and deep learning during SARS-CoV2

“…Here we can plainly see how decision trees are constructed, with each step in the chain of events leading to the final conclusion. The process of partitioning whole training data into subsets in every internal node depending on some criterion, is required for the construction of a decision tree ( Iwendi et al, 2020 , Borup et al, 2022 ).…”

“…Despite the fact that DT are simple to comprehend and perform well in particular data, they have a large variance due to the greedy process of algorithm, which causes tree to constantly select optimal split at each level and can't look beyond the current level. Thus, over fitting may occur, where the model outperforms the testing set in the training set ( Borup et al, 2022 ).…”