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README.md
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@@ -36,14 +36,41 @@ accuracy: 98.80% - val_accuracy: 98.78% - loss: 0.0386 - val_loss: 0.0636
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### 📋 Classification Report
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| Label
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> *Note: Label "NOTHING" memiliki support sangat kecil (1 sampel), sehingga metriknya tidak signifikan.*
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@@ -67,4 +94,3 @@ Model ini bisa digunakan untuk prediksi real-time langsung dari webcam di browse
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## 📄 License
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MIT License
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### 📋 Classification Report
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| Label | Precision | Recall | F1-score | Support |
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| ---------------- | --------- | ------ | -------- | --------- |
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| A | 0.98 | 1.00 | 0.99 | 437 |
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| B | 1.00 | 1.00 | 1.00 | 441 |
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| C | 1.00 | 1.00 | 1.00 | 398 |
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| D | 0.99 | 0.99 | 0.99 | 493 |
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| E | 1.00 | 0.99 | 0.99 | 462 |
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| F | 1.00 | 0.99 | 1.00 | 575 |
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| G | 0.99 | 0.99 | 0.99 | 488 |
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| H | 0.99 | 0.99 | 0.99 | 479 |
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| I | 0.99 | 0.99 | 0.99 | 477 |
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| J | 0.99 | 0.99 | 0.99 | 516 |
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| K | 1.00 | 0.99 | 0.99 | 540 |
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| L | 1.00 | 1.00 | 1.00 | 505 |
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| M | 0.96 | 0.93 | 0.94 | 313 |
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| N | 0.91 | 0.96 | 0.94 | 255 |
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| O | 0.98 | 0.99 | 0.99 | 453 |
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| P | 1.00 | 0.99 | 1.00 | 408 |
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| Q | 0.99 | 1.00 | 0.99 | 419 |
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| R | 1.00 | 0.97 | 0.98 | 508 |
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| S | 0.99 | 0.99 | 0.99 | 510 |
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| T | 1.00 | 0.99 | 0.99 | 470 |
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| U | 0.96 | 0.99 | 0.98 | 503 |
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| V | 0.99 | 1.00 | 0.99 | 510 |
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| W | 0.99 | 0.98 | 0.98 | 491 |
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| X | 0.99 | 0.99 | 0.99 | 432 |
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| Y | 1.00 | 1.00 | 1.00 | 517 |
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| Z | 0.99 | 0.99 | 0.99 | 470 |
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| DEL | 0.98 | 0.99 | 0.99 | 340 |
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| NOTHING | 0.00 | 0.00 | 0.00 | 1 |
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| SPACE | 0.98 | 0.99 | 0.99 | 325 |
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| **Accuracy** | | | **0.99** | **12736** |
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| **Macro Avg** | 0.95 | 0.95 | 0.95 | 12736 |
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| **Weighted Avg** | 0.99 | 0.99 | 0.99 | 12736 |
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> *Note: Label "NOTHING" memiliki support sangat kecil (1 sampel), sehingga metriknya tidak signifikan.*
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## 📄 License
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MIT License
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