Research Article
Perceptron Ranking Using Interval Labels with Ramp Loss for Online Ordinal Regression
Table 5
Sensitivity estimation of PRIL, PA-I, and proposed PRIL-RAMP algorithm of three datasets under 75% noise data.
| Dataset | Rounds | Method | MAE | RMSE | Spearman’s correlation coefficient | Discard sample | Discard rate (%) | Time (s) |
| Abalone | T = 1400 | PA-I-75% | | | | | 0.00 | 0.206 | PRIL-75% | | | | | 0.00 | 0.190 | PRIL-RAMP-75% | | | | | 61.14 | 0.230 | T = 2800 | PA-I-75% | | | | | 0.00 | 0.368 | PRIL-75% | | | | | 0.00 | 0.350 | PRIL-RAMP-75% | | | | | 64.78 | 0.528 | T = 4100 | PA-I-75% | | | | | 0.00 | 0.624 | PRIL-75% | | | | | 0.00 | 0.575 | PRIL-RAMP-75% | | | | | 64.78 | 0.681 |
| Parkinsons-uprds | T = 2000 | PA-I-75% | | | | | 0.00 | 0.273 | PRIL-75% | | | | | 0.00 | 0.288 | PRIL-RAMP-75% | | | | | 72.80 | 0.352 | T = 4000 | PA-I-75% | | | | | 80.00 | 0.587 | PRIL-75% | | | | | 0.00 | 0.365 | PRIL-RAMP-75% | | | | | 871.95 | 0.703 | T = 5800 | PA-I-75% | | | | | 0.00 | 0.899 | PRIL-75% | | | | | 0.00 | 0.928 | PRIL-RAMP-75% | | | | | 68.56 | 1.036 | Real estate valuation | T = 140 | PA-I-75% | | | | | 0.00 | 0.124 | PRIL-75% | | | | | 0.00 | 0.180 | PRIL-RAMP-75% | | | | | 65.00 | 0.144 | T = 280 | PA-I-75% | | | | | 30.00 | 0.268 | PRIL-75% | | | | | 0.00 | 0.388 | PRIL-RAMP-75% | | | | | 66.78 | 0.270 | T = 400 | PA-I-75% | | | | | 0.00 | 0.595 | PRIL-75% | | | | | 0.00 | 0.516 | PRIL-RAMP-75% | | | | | 75.50 | 0.402 |
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