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README.md

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+# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/model-cards
+{}
+---
+
+# Model Card for aedupuga/recommendation_predictor 
+
+### Model Description
+
+
+This is an AutoGluon Tabular AutoML implementation on a tabular dataset recording different features of the book. The model predicts whether the author would 'Recommend' or 'Not Recommend' a book based on given features.
+
+
+- **Model developed by:** Anuhya Edupuganti
+- **Model type:** AutoGluon TabularPredictor
+
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+- **Dataset:** jennifee/HW1-tabular-dataset
+
+
+## Uses
+
+### Direct Use
+- This model was intended to practice automl implementation on a tabular dataset
+
+## Bias, Risks, and Limitations
+- Small data size.
+- Personal preference of the dataset creator in classification.
+
+## Training Data:
+
+The model was trained on the augmented split of the "jennifee/HW1-tabular-dataset" The data includes features such as FictionorNonfiction, NumPages, ThicknessInches, and ReadUnfinishedorUnread, with the target variable being RecommendtoEveryone (yes or no).
+
+## Evaluation Data:
+
+The model achieved an accuracy of 0.5000 and a weighted F1 score of 0.5212 on the original dataset.
+
+## Model Card Contact
+
+Anuhya Edupuganti (Carnegie Mellon Univerity)- aedupuga@andrew.cmu.edu