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README.md
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@@ -57,31 +57,26 @@ The following hyperparameters were used during training:
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Generating detailed evaluation metrics on the validation set...
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100_NIGHT_TRIAL_OFFER 1.00 1.00 1.00 4
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accuracy 0.89 66
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macro avg 0.90 0.89 0.89 66
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weighted avg 0.91 0.89 0.90 66
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Generating detailed evaluation metrics on the validation set...
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The model was evaluated on a held-out validation set. Below is the detailed classification report:
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precision recall f1-score support
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100_NIGHT_TRIAL_OFFER 1.00 1.00 1.00 4
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ABOUT_SOF_MATTRESS 1.00 1.00 1.00 2
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CANCEL_ORDER 1.00 1.00 1.00 2
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CHECK_PINCODE 1.00 1.00 1.00 2
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COD 1.00 1.00 1.00 2
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COMPARISON 0.33 0.50 0.40 2
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DELAY_IN_DELIVERY 1.00 1.00 1.00 2
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DISTRIBUTORS 1.00 1.00 1.00 7
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EMI 1.00 1.00 1.00 5
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ERGO_FEATURES 1.00 1.00 1.00 2
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LEAD_GEN 1.00 1.00 1.00 4
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MATTRESS_COST 1.00 0.80 0.89 5
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OFFERS 1.00 1.00 1.00 2
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ORDER_STATUS 1.00 0.75 0.86 4
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ORTHO_FEATURES 1.00 1.00 1.00 4
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PILLOWS 1.00 1.00 1.00 2
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PRODUCT_VARIANTS 0.50 0.50 0.50 4
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RETURN_EXCHANGE 1.00 0.67 0.80 3
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SIZE_CUSTOMIZATION 0.50 0.50 0.50 2
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WARRANTY 0.67 1.00 0.80 2
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WHAT_SIZE_TO_ORDER 0.80 1.00 0.89 4
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