f) Table 1 indicates the partial fit statistic for selected Artificial Neural Network models. Based on the information, identify the steps to evaluate underfit, overfit and the best model. Model Description NN3 NN8 NN5 Train: Average Train: Squared Error 0.1492 0.135599 0.141656 Table 1 Valid: Average Misclassification Squared Error Rate 0.187123 0.171482 0.176056 0.186117 0.177725 0.17131 Train: Misclassification Roc Index Valid: Rate Valid: Roc Index 0.215509 0.804 0.222558 0.849 0.209466 0.759 0.754 0.834 0.756

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f) Table 1 indicates the partial fit statistic for selected Artificial Neural Network models.
Based on the information, identify the steps to evaluate underfit, overfit and the best
model.
Train:
Average Train:
Model
Squared
Description Error Rate
NN3
NN8
NN5
0.1492
0.135599
0.141656
Table 1
Valid:
Average
Misclassification Squared
Error
0.187123 0.171482
0.176056
0.177725
0.186117
0.17131
Valid:
Misclassification
Rate
Train:
Roc
Index
0.215509
0.804
0.222558 0.849
0.209466
Valid:
Roc
Index
0.759
0.754
0.834 0.756
Transcribed Image Text:f) Table 1 indicates the partial fit statistic for selected Artificial Neural Network models. Based on the information, identify the steps to evaluate underfit, overfit and the best model. Train: Average Train: Model Squared Description Error Rate NN3 NN8 NN5 0.1492 0.135599 0.141656 Table 1 Valid: Average Misclassification Squared Error 0.187123 0.171482 0.176056 0.177725 0.186117 0.17131 Valid: Misclassification Rate Train: Roc Index 0.215509 0.804 0.222558 0.849 0.209466 Valid: Roc Index 0.759 0.754 0.834 0.756
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