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@@ -40,8 +40,8 @@ A small convolutional neural network, written and trained from scratch in PyTorc
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  ## Results (60 held-out test spectrograms)
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- - Test accuracy: 86.7%
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- - Weighted F1: 0.86 (precision 0.89, recall 0.86%)
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  - Per-class one-vs-rest ROC-AUC: helicopter 1.00, drone 0.97, background 0.96
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  ## Limitations
 
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  ## Results (60 held-out test spectrograms)
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+ - Test accuracy: 86.67%
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+ - Weighted F1: 0.87 (precision 0.87, recall 0.86%)
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  - Per-class one-vs-rest ROC-AUC: helicopter 1.00, drone 0.97, background 0.96
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  ## Limitations