Beschrijving
This study utilized AI models, including SVM, ET, and GPR, to predict BMW generation across Indian states. PCA, a key feature extraction method, was employed to enhance prediction accuracy, resulting in a PCA-based hybrid model derived from the best-performing approach. Model performance was assessed using RMSE and R² metrics. Pearson correlation analysis, along with two-tailed significance testing, validated the statistical relationships between variables and the proposed BMW generation features. Sensitivity analysis, conducted with non-linear techniques, and the evaluation of eight distinct models provided valuable insights.
