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Update README.md

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@@ -55,7 +55,7 @@ The classification task is split into two stages:
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  - 2,436,727 rows of labelled URLs
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  2. Website features model
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  - **100.0% accuracy** on training and validation data
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- - 911,180 rows of 43 features
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  ## Training Features
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  I applied cross-validation with `cv=5` to the training dataset to search for the best hyperparameters.
 
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  - 2,436,727 rows of labelled URLs
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  2. Website features model
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  - **100.0% accuracy** on training and validation data
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+ - 911,180 rows of 42 features
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  ## Training Features
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  I applied cross-validation with `cv=5` to the training dataset to search for the best hyperparameters.