Add README.md

README.md

@@ -0,0 +1,36 @@
+---
+library_name: autogluon
+license: mit
+tags:
+- tabular-classification
+- automl
+- autogluon
+datasets:
+- Iris314/Youtube_music_comments
+metrics:
+- accuracy
+- f1
+---
+
+# Tabular AutoML (AutoGluon)
+
+**Task:** Classification
+**Dataset:** `Iris314/Youtube_music_comments` (classmate HW1 dataset)
+**Target column:** `label`
+
+## Best Model
+- **Name:** `WeightedEnsemble_L2`
+- **Hyperparameters:** See below (AutoGluon model_hyperparams for best model)
+
+## Results
+- **Hold-out (same distribution as training):**
+  - Accuracy = 0.9905
+  - Weighted F1 = 0.9905
+
+- **Additional check (original split):**
+  - Accuracy = 1.0000
+  - Weighted F1 = 1.0000
+
+## Notes
+- Trained with `presets="best_quality"`, `time_limit=300`.
+- AutoGluon ensembles classical ML models and tunes hyperparameters automatically.