Research Article
Perceptron Ranking Using Interval Labels with Ramp Loss for Online Ordinal Regression
Table 3
Sensitivity estimation of PRIL, PA-I, and proposed PRIL-RAMP algorithm of three datasets under 25% noise data.
| Dataset | Rounds | Method | MAE | RMSE | Spearman’s correlation coefficient | Discard sample | Discard rate | Time (s) |
| Abalone | T = 1400 | PA-I-25% | | | | | 0.00 | 0.035 | PRIL-25% | | | | | 0.00 | 0.176 | PRIL-RAMP-25% | | | | | 21.5 | 0.225 | T = 2800 | PA-I-25% | | | | | 0.00 | 0.069 | PRIL-25% | | | | | 0.00 | 0.368 | PRIL-RAMP-25% | | | | | 23.04 | 0.432 | T = 4100 | PA-I-25% | | | | | 0.00 | 0.105 | PRIL-25% | | | | | 0.00 | 0.552 | PRIL-RAMP-25% | | | | | 32.04 | 0.623 |
| Parkinsons-uprds | T = 2000 | PA-I-25% | | | | | 0.00 | 0.082 | PRIL-25% | | | | | 0.00 | 0.297 | PRIL-RAMP-25% | | | | | 21.25 | 0.382 | T = 4000 | PA-I-25% | | | | | 0.00 | 0.296 | PRIL-25% | | | | | 0.00 | 0.548 | PRIL-RAMP-25% | | | | | 19.20 | 0.786 | T = 5800 | PA-I-25% | | | .. | | 0.00 | 0.385 | PRIL-25% | | | | | 0.00 | 0.854 | PRIL-RAMP-25% | | | | | 25.10 | 1.127 |
| Real estate valuation | T = 140 | PA-I-25% | | | | | 0.00 | 0.421 | PRIL-25% | | | | | 0.00 | 0.162 | PRIL-RAMP-25% | | | | | 22.85 | 0.208 | T = 280 | PA-I-25% | | | | | 0.00 | 0.923 | PRIL-25% | | | | | 0.00 | 0.348 | PRIL-RAMP-25% | | .. | .. | | 20.00 | 0.378 | T = 400 | PA-I-25% | | | | | 0.00 | 1.263 | PRIL-25% | | | | | 0.00 | 0.531 | PRIL-RAMP-25% | | | | | 30.25 | 0.579 |
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