Fraud Detection on Dataset 2
1PerformanceBest Baseline
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Best BaselineFixed Features (%)=0 %, Unknown Features (%)=0 %, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 1 | — | |
| Best BaselineFixed Features (%)=25%, Unknown Features (%)=0%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 0.94 | — | |
| Best BaselineFixed Features (%)=0 %, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 0.93 | — | |
| Best BaselineFixed Features (%)=25%, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 0.46 | — | |
| Best BaselineFixed Features (%)=50%, Unknown Features (%)=0%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 0.46 | — | |
| Best BaselineFixed Features (%)=0 %, Unknown Features (%)=50%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 0.45 | — | |
| Best BaselineFixed Features (%)=25%, Unknown Features (%)=50%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 0.04 | — | |
| Best BaselineFixed Features (%)=50%, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | 0.04 | — | |
| FRAUD-RLAFixed Features (%)=0 %, Unknown Features (%)=0 %, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | -0.47 | |
| FRAUD-RLAFixed Features (%)=0 %, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | -0.41 | |
| FRAUD-RLAFixed Features (%)=25%, Unknown Features (%)=0%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | -0.43 | |
| FRAUD-RLAFixed Features (%)=0 %, Unknown Features (%)=50%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | -0.05 | |
| FRAUD-RLAFixed Features (%)=25%, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | -0.04 | |
| FRAUD-RLAFixed Features (%)=50%, Unknown Features (%)=0%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 0.12 | |
| FRAUD-RLAFixed Features (%)=25%, Unknown Features (%)=50%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 0.03 | |
| FRAUD-RLAFixed Features (%)=50%, Unknown Features (%)=25%, Classifier=Random Forest, Measurement Window=4000 frauds2025.02 | — | 0.02 |