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Table 6 RMSE values of artificial neural networks (N = 284)

From: Modelling the significance of strategic orientation for competitive advantage and economic sustainability: the use of hybrid SEM–neural network analysis

Network Sample size (training) Sample size (testing) RMSE (training) RMSE (testing) Sample size (training) Sample size (testing) RMSE (training) RMSE (testing)
Model A: factors effecting competitive advantage Model B: factors effecting economic sustainability
1 194 90 0.437 0.382 203 81 0.414 0.414
2 202 82 0.439 0.409 188 96 0.433 0.437
3 187 97 0.429 0.420 193 91 0.469 0.438
4 199 85 0.439 0.369 197 87 0.441 0.469
5 205 79 0.496 0.469 187 97 0.455 0.454
6 208 76 0.463 0.380 199 85 0.476 0.531
7 200 84 0.458 0.388 192 92 0.427 0.408
8 202 82 0.496 0.494 196 88 0.479 0.452
9 202 82 0.452 0.471 196 88 0.447 0.470
10 190 94 0.399 0.547 196 88 0.462 0.421
   Mean 0.451 0.433   Mean 0.450 0.449
  Standard deviation 0.030 0.059 Standard deviation 0.022 0.036
  1. Source: author’s data analysis