Research Article
Recall Network: A Simple Brain-Inspired Algorithm for Classification
Table 5
Performance of all models among 263 datasets.
| | Average accuracy (%) | Kappa statistic | Root mean squared error | Mean absolute error | Relative absolute error (%) | Root relative squared error (%) | Total running time (i7, 16G) |
| RN | 73.57 | 0.42 | 0.33 | 0.27 | 79.08 | 83.25 | 3,780s | NB | 72.05 | 0.50 | 0.34 | 0.19 | 60.74 | 85.51 | 60s | J48 | 78.53 | 0.59 | 0.28 | 0.16 | 44.76 | 70.59 | 180s | KNN | 76.87 | 0.56 | 0.32 | 0.16 | 45.24 | 80.47 | 780s | SVM1 | 71.96 | 0.42 | 0.36 | 0.17 | 49.04 | 90.03 | 8,100s | SVM2 | 72.66 | 0.44 | 0.36 | 0.17 | 47.95 | 88.26 | 8,100s | SVM3 | 73.01 | 0.45 | 0.35 | 0.16 | 47.48 | 87.19 | 8,100s | ANN1 | 77.95 | 0.59 | 0.28 | 0.15 | 43.61 | 69.93 | 34.080s | ANN2 | 77.84 | 0.59 | 0.28 | 0.15 | 43.27 | 70.66 | 34.080s | OneR | 67.16 | 0.40 | 0.39 | 0.19 | 56.74 | 98.86 | 60s |
| Friedman ranked test | Q (95% threshold: 21.67) | 218.45 | 320.03 | 467.68 | 555.13 | 575.90 | 460.46 | — |
| ANOVA | F (95% threshold: 1.88) | 8.20 | 15.05 | 13.13 | 16.48 | 29.35 | 18.82 | — |
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