Platform Comparison
Side-by-side ML performance across all trained platforms.
All Metrics — All Platforms
Summary Table
| Platform | Status | Accuracy | Precision | Recall | F1 Score | Training Rows | Trained At |
|---|---|---|---|---|---|---|---|
| Ready | 96.8% | 0.970 | 0.967 | 0.968 | 3584 | 2026-05-01 13:15 | |
| Ready | 95.5% | 0.955 | 0.956 | 0.955 | 5984 | 2026-05-01 13:15 | |
| x | Ready | 97.6% | 0.984 | 0.967 | 0.976 | 5944 | 2026-05-01 13:15 |
| Ready | 97.1% | 0.974 | 0.969 | 0.971 | 5988 | 2026-05-01 13:15 | |
| github | Ready | 96.6% | 0.966 | 0.964 | 0.965 | 5972 | 2026-05-01 13:15 |
| discord | Ready | 100.0% | 1.000 | 1.000 | 1.000 | 2000 | 2026-05-01 13:15 |
| youtube | Ready | 100.0% | 1.000 | 1.000 | 1.000 | 2000 | 2026-05-01 13:15 |
| tiktok | Ready | 100.0% | 0.999 | 1.000 | 1.000 | 2400 | 2026-05-01 13:15 |
| Ready | 100.0% | 1.000 | 1.000 | 1.000 | 2400 | 2026-05-01 13:15 | |
| snapchat | Ready | 100.0% | 1.000 | 1.000 | 1.000 | 2000 | 2026-05-01 13:15 |