Fraud Detection on Dataset 3
72Performance ScoreBest Baseline
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Best BaselineFixed Features (%)=0 %, Unknown Features (%)=0 %, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 72 | — | |
| Best BaselineFixed Features (%)=25%, Unknown Features (%)=0%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 63 | — | |
| Best BaselineFixed Features (%)=0 %, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 62 | — | |
| Best BaselineFixed Features (%)=0 %, Unknown Features (%)=50%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 50 | — | |
| Best BaselineFixed Features (%)=25%, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 50 | — | |
| Best BaselineFixed Features (%)=50%, Unknown Features (%)=0%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 50 | — | |
| Best BaselineFixed Features (%)=50%, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 38 | — | |
| Best BaselineFixed Features (%)=25%, Unknown Features (%)=50%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 37 | — | |
| FRAUD-RLAFixed Features (%)=0 %, Unknown Features (%)=0 %, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 2 | |
| FRAUD-RLAFixed Features (%)=0 %, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 17 | |
| FRAUD-RLAFixed Features (%)=25%, Unknown Features (%)=0%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 9 | |
| FRAUD-RLAFixed Features (%)=0 %, Unknown Features (%)=50%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 13 | |
| FRAUD-RLAFixed Features (%)=25%, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 12 | |
| FRAUD-RLAFixed Features (%)=50%, Unknown Features (%)=0%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 10 | |
| FRAUD-RLAFixed Features (%)=25%, Unknown Features (%)=50%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 24 | |
| FRAUD-RLAFixed Features (%)=50%, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 23 |