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Finally, Khalilia et al. combined repeated random sub-sampling with the Random Forest method to overcome the class imbalance problem [ 27].
They are compared with respect to optimality and computational performance by means of repeated random tests.
The support vector machine produced 82% classification accuracy for organic carbon levels by repeated random splitting of the whole dataset.
Repeated random vector sampling, similar to Monte Carlo method, is combined with particle swarm optimization (PSO) algorithm for parameter estimation.
The predictive performances of the MAGT and ALT models were evaluated both with repeated random cross validation (CV) and against historical observational data (hindcasting).
The generalization performance was assessed and compared using repeated random sub-sampling validation and receiver operating characteristic (ROC) curve analysis.
Multiple imputations are repeated random draws from the predictive distribution of the missing values.
The results were cross validated by repeated random sampling of the training data (Monte Carlo CV).
The analysis was performed via a cross-validation scheme with repeated random subsampling (bootstrapping).
Specifically, we proposed sample selection methods using (i) repeated random draws, (ii) a genetic algorithm, and (iii) pair-wise sample compatibilities.
The effect of many equally possible combinations of drilling sequences on economic outcomes can be captured by analyzing the results of the 2000 repeated random realizations.
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