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@@ -167,16 +167,16 @@ This performance is competitive for rapid prototyping in price-sensitive applica
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  bitsandbytes (for 8-bit quantization optional inference)
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- ## Citation [optional]
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  @misc{RCompense2025MidasPricer,
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  title = {Midas-Pricer: Price Prediction for Amazon Appliances},
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  author = {Recompense},
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  year = {2025},
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- howpublished = {\url{https://huggingface.co/Recompense/Midas-pricer}},
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  }
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- ## Glossary [optional]
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  - RMSLE (Root Mean Squared Logarithmic Error):
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  Measures the square root of the average squared difference between log-transformed predictions and targets. Less sensitive to large absolute errors.
 
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  bitsandbytes (for 8-bit quantization optional inference)
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+ ## Citation
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  @misc{RCompense2025MidasPricer,
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  title = {Midas-Pricer: Price Prediction for Amazon Appliances},
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  author = {Recompense},
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  year = {2025},
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+ howpublished = "\url{https://huggingface.co/Recompense/Midas-pricer}"
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  }
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+ ## Glossary
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  - RMSLE (Root Mean Squared Logarithmic Error):
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  Measures the square root of the average squared difference between log-transformed predictions and targets. Less sensitive to large absolute errors.