Fashion-MNIST_GECCO/metadata.json

{
  "dataset": "Fashion-MNIST",
  "model_name": "GECCO",
  "paper_title": "A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification",
  "paper_url": "https://arxiv.org/abs/2402.00564v6",
  "code_links": [],
  "metrics": {
    "Percentage error": "11.91",
    "Accuracy": "88.09"
  },
  "table_metrics": {
    "Percentage error": "11.91",
    "Accuracy": "88.09"
  },
  "prompts": [
    "Given the following paper and codebase:\n    Paper: A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification\n    Codebase: https://github.com/geccoproject/gecco\n\n    Improve the GECCO model on the Fashion-MNIST dataset. The result\n    should improve on the following metrics: {'Percentage error': '11.91', 'Accuracy': '88.09'}. You must use only the codebase provided.\n    "
  ]
}