Update README.md

README.md

@@ -11,4 +11,31 @@ license: mit
 short_description: A simple user-facing interface for the tabular model
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Flower Color Predictor using AutoGluon 
+
+This repository contains a trained `TabularPredictor` from the AutoGluon library, which was trained to classify flower colors based on their physical dimensions.
+
+## Dataset
+
+The model was trained on the `scottymcgee/flowers` dataset, using the synthetic (`augmented`) split for training and the original (`original`) split for final evaluation.
+
+## Model
+
+The model was borrowed from `https://huggingface.co/its-zion-18/flowers-tabular-autolguon-predictor` model.
+
+## Evaluation Results
+
+The final performance of the best model on the original dataset is as follows:
+
+- **Accuracy**: `1.0000`
+- **Weighted F1**: `1.0000`
+
+## Potential Errors
+
+Based on the accuracy being so high, I assume there may be data leakage.
+Since the augmented data was created directly from the original data (by adding noise or small variations), 
+the model wasn't learning to generalize to new information. It was simply memorizing the patterns it had already been shown. 
+This could have led to overfitting, where a model learns the training data so well that it fails to perform on new, unseen data.
+
+## Contact
+Feel free to contact me for any questions or concerns: [email protected]