Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9786630098167
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786630098167
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786630098167
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9786630098167
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 R 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. 92 pp. Englisch. N° de réf. du vendeur 9786630098167
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 R 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. N° de réf. du vendeur 9786630098167
Quantité disponible : 2 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786630098167
Quantité disponible : 1 disponible(s)