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add benchmark results
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‎README.md‎

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| Pipeline | Outperforms ARIMA |
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|---------------------------|--------------------|
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| AER | 11 |
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| AER | 12 |
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| TadGAN | 7 |
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| LSTM Dynamic Thresholding | 9 |
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| LSTM Autoencoder | 6 |
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| Dense Autoencoder | 8 |
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| LSTM Autoencoder | 7 |
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| Dense Autoencoder | 7 |
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| VAE | 6 |
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| AnomalyTransformer | 2 |
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| LNN | 7 |
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| Matrix Profile | 5 |
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| UniTS | 6 |
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| TimesFM | 7 |
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| [GANF](https://arxiv.org/pdf/2202.07857.pdf) | 5 |
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| [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/anomaly-detector/) | 0 |
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‎benchmark/leaderboard.md‎

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| Pipeline | Outperforms ARIMA |
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|---------------------------|--------------------|
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| AER | 11 |
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| AER | 12 |
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| TadGAN | 7 |
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| LSTM Dynamic Thresholding | 9 |
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| LSTM Autoencoder | 6 |
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| Dense Autoencoder | 8 |
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| LSTM Autoencoder | 7 |
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| Dense Autoencoder | 7 |
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| VAE | 6 |
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| AnomalyTransformer | 2 |
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| LNN | 7 |
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| Matrix Profile | 5 |
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| UniTS | 6 |
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| TimesFM | 7 |
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| GANF | 5 |
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| Azure | 0 |

‎benchmark/leaderboard.xlsx‎

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