Commercial Fishing Incident Database & Oregon Trauma Registry Match Parameters: Incident Date, Incident State Combinations (2966 * 11): 32,626 Golden Matches: 5 | ||||||
Classifier | Threshold | TP | FP | FN | TN | f-score |
Expectation/Conditional Maximization | 0.5 | 4 | 6 | 1 | 32,615 | 0.53 |
Support vector machine | 0.5 | 0 | 0 | 5 | 32,621 | 0 |
Naïve-Bayes | 0.005 | 5 | 29 | 0 | 32,592 | 0.26 |
Logistic regression | 0.005 | 5 | 29 | 0 | 32,592 | 0.26 |
Commercial Fishing Incident Database & Vessel Casualty Match Parameters: Incident Date, Vessel Official Number, Latitude/Longitude Combinations (1315 * 524): 689,060 Golden Matches: 9 | ||||||
Classifier | Threshold | TP | FP | FN | TN | f-score |
Expectation/Conditional Maximization | 0.5 | 9 | 3 | 0 | 689,048 | 0.86 |
Support vector machine | 0.5 | 8 | 0 | 1 | 689,051 | 0.94 |
Naïve-Bayes | 0.005 | 9 | 3 | 0 | 689,048 | 0.86 |
Logistic regression | 0.005 | 9 | 7 | 0 | 689,044 | 0.72 |
Commercial Fishing Incident Database & Nonfatal Injuries Match Parameters: Incident Date, Vessel Official Number, Latitude/Longitude Combinations (2966 * 232): 688,112 Golden Matches: 12 | ||||||
Classifier | Threshold | TP | FP | FN | TN | f-score |
Expectation/Conditional Maximization | 0.5 | 12 | 52 | 0 | 688,048 | 0.32 |
Support vector machine | 0.5 | 0 | 0 | 12 | 688,100 | 0 |
Naïve-Bayes | 0.005 | 12 | 52 | 0 | 688,048 | 0.32 |
Logistic regression | 0.005 | 12 | 52 | 0 | 688,048 | 0.32 |
Nonfatal Injuries & Vessel Casualty Match Parameters: Incident Date, Vessel Official Number, Latitude/Longitude Combinations (232 * 524): 121,568 Golden Matches: 10 | ||||||
Classifier | Threshold | TP | FP | FN | TN | f-score |
Expectation/Conditional Maximization | 0.5 | 10 | 13 | 0 | 121,545 | 0.61 |
Support vector machine | 0.5 | 9 | 1 | 1 | 121,557 | 0.90 |
Naïve-Bayes | 0.01 | 10 | 2 | 0 | 121,556 | 0.91 |
Logistic regression | 0.01 | 10 | 13 | 0 | 121,545 | 0.61 |
Nonfatal Injuries & Oregon Trauma Registry Match Parameters: Incident Date, Incident State Combinations (232 * 11): 2552 Golden Matches: 4 | ||||||
Classifier | Threshold | TP | FP | FN | TN | f-score |
Expectation/Conditional Maximization | 0.2 | 4 | 3 | 0 | 2545 | 0.73 |
Support vector machine | 0.5 | 0 | 0 | 4 | 2548 | 0 |
Naïve-Bayes | 0.005 | 4 | 3 | 0 | 2545 | 0.73 |
Logistic regression | 0.005 | 4 | 7 | 0 | 2541 | 0.53 |
Vessel Casualty & Oregon Trauma Registry Match Parameters: Incident Date, Incident State Combinations (524 * 11): 5764 Golden Matches: 0 |