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Conv1D, dilatih menggunakan TensorFlowEpoch 27/50
accuracy: 98.80% - val_accuracy: 98.78% - loss: 0.0386 - val_loss: 0.0636| Label | Precision | Recall | F1-score | Support |
|---|---|---|---|---|
| A | 0.98 | 1.00 | 0.99 | 437 |
| B | 1.00 | 1.00 | 1.00 | 441 |
| C | 1.00 | 1.00 | 1.00 | 398 |
| D | 0.99 | 0.99 | 0.99 | 493 |
| E | 1.00 | 0.99 | 0.99 | 462 |
| F | 1.00 | 0.99 | 1.00 | 575 |
| G | 0.99 | 0.99 | 0.99 | 488 |
| H | 0.99 | 0.99 | 0.99 | 479 |
| I | 0.99 | 0.99 | 0.99 | 477 |
| J | 0.99 | 0.99 | 0.99 | 516 |
| K | 1.00 | 0.99 | 0.99 | 540 |
| L | 1.00 | 1.00 | 1.00 | 505 |
| M | 0.96 | 0.93 | 0.94 | 313 |
| N | 0.91 | 0.96 | 0.94 | 255 |
| O | 0.98 | 0.99 | 0.99 | 453 |
| P | 1.00 | 0.99 | 1.00 | 408 |
| Q | 0.99 | 1.00 | 0.99 | 419 |
| R | 1.00 | 0.97 | 0.98 | 508 |
| S | 0.99 | 0.99 | 0.99 | 510 |
| T | 1.00 | 0.99 | 0.99 | 470 |
| U | 0.96 | 0.99 | 0.98 | 503 |
| V | 0.99 | 1.00 | 0.99 | 510 |
| W | 0.99 | 0.98 | 0.98 | 491 |
| X | 0.99 | 0.99 | 0.99 | 432 |
| Y | 1.00 | 1.00 | 1.00 | 517 |
| Z | 0.99 | 0.99 | 0.99 | 470 |
| DEL | 0.98 | 0.99 | 0.99 | 340 |
| NOTHING | 0.00 | 0.00 | 0.00 | 1 |
| SPACE | 0.98 | 0.99 | 0.99 | 325 |
| Accuracy | 0.99 | 12736 | ||
| Macro Avg | 0.95 | 0.95 | 0.95 | 12736 |
| Weighted Avg | 0.99 | 0.99 | 0.99 | 12736 |
Note: Label "NOTHING" memiliki support sangat kecil (1 sampel), sehingga metriknya tidak signifikan.