An Ensemble Modeling using Random Machines
Brier Score function
Prediction function for the rm_class_model
Prediction function for the rm_reg_model
Random Machines
S4 class for RM classification
S4 class for RM regression
Root Mean Squared Error (RMSE) Function
Generate a binary classification data set from normal distribution
Simulation for a regression toy examples from Random Machines Regressi...
Simulation for a regression toy examples from Random Machines Regressi...
Simulation for a regression toy examples from Random Machines Regressi...
Simulation for a regression toy examples from Random Machines Regressi...
Simulation for a regression toy examples from Random Machines Regressi...
A novel ensemble method employing Support Vector Machines (SVMs) as base learners. This powerful ensemble model is designed for both classification (Ara A., et. al, 2021) <doi:10.6339/21-JDS1014>, and regression (Ara A., et. al, 2021) <doi:10.1016/j.eswa.2022.117107> problems, offering versatility and robust performance across different datasets and compared with other consolidated methods as Random Forests (Maia M, et. al, 2021) <doi:10.6339/21-JDS1025>.