metadata
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.