Research Article
Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN
Table 6
Analysis of variance of the second fold.
| Source | Df | Adj SS | Adj MS | F-value | value |
| Model | 4 | 0.001418 | 0.000355 | 3.56 | 0.031 | Linear | 3 | 0.001043 | 0.000348 | 3.49 | 0.042 | HN | 1 | 0.00001 | 0.00001 | 0.1 | 0.754 | TC | 1 | 0.000998 | 0.000998 | 10.02 | 0.006 | LR | 1 | 0.000035 | 0.000035 | 0.35 | 0.562 | Square | 1 | 0.000375 | 0.000375 | 3.77 | 0.071 | TC × TC | 1 | 0.000375 | 0.000375 | 3.77 | 0.071 | Error | 15 | 0.001494 | 0.0001 | | | Lack-of-fit | 10 | 0.000947 | 0.000095 | 0.87 | 0.606 | Pure error | 5 | 0.000547 | 0.000109 | | | Total | 19 | 0.002912 | | | |
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