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@ -209,7 +209,7 @@ X train: <br>
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[ 0 0 0 ... 2 27 375] <br>
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[ 0 0 0 ... 11 111 531] <br>
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[ 0 0 0 ... 152 1833 12]] <br> <br>
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X train: <br>
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X test: <br>
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[[ 0 0 0 ... 2 126 3849] <br>
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[ 0 0 0 ... 25 1833 12] <br>
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[ 0 0 0 ... 129 249 4262] <br>
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@ -276,8 +276,10 @@ model.fit(X_train, y_train, batch_size=batch_size, epochs=epochs, validation_spl
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```python
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test_loss, test_acc = model.evaluate(X_test, y_test)
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print(f"\nTest accuracy: {test_acc}")
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print(f"\nTest loss: {test_loss}")
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```
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Test accuracy: 0.8670799732208252
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Test accuracy: 0.8670799732208252 <br>
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Test loss: 0.3307616412639618
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---
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### 9. Оценить качество обучения на тестовых данных.
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