{
  "retrieved_at": "2026-10-07",
  "source": "Kaggle CLI notebook execution logs",
  "results": [
    {
      "notebook": "12k-parameter-97-accuracy",
      "url": "https://www.kaggle.com/code/samareddy94/12k-parameter-97-accuracy",
      "accuracy": 0.971,
      "parameters": 12756,
      "latency_us": 55.7,
      "log_path": "kaggle-evidence/12k-parameter-97-accuracy/12k-parameter-97-accuracy.log"
    },
    {
      "notebook": "97-seizure-detection-12k-params-no-gpu",
      "url": "https://www.kaggle.com/code/samareddy94/97-seizure-detection-12k-params-no-gpu",
      "accuracy": 0.9691,
      "parameters": 12072,
      "latency_us": 55.6,
      "log_path": "kaggle-evidence/97-seizure-detection-12k-params-no-gpu/97-seizure-detection-12k-params-no-gpu.log"
    },
    {
      "notebook": "99-eeg-emotion-detection-164k-params-no-gpu",
      "url": "https://www.kaggle.com/code/samareddy94/99-eeg-emotion-detection-164k-params-no-gpu",
      "accuracy": 0.9906,
      "parameters": 163788,
      "latency_us": 1309.9,
      "log_path": "kaggle-evidence/99-eeg-emotion-detection-164k-params-no-gpu/99-eeg-emotion-detection-164k-params-no-gpu.log"
    },
    {
      "notebook": "gnaninet-eeg-eyestate-benchmark",
      "url": "https://www.kaggle.com/code/samareddy94/gnaninet-eeg-eyestate-benchmark",
      "accuracy": 0.9416,
      "parameters": 1576,
      "latency_us": 16.5,
      "log_path": "kaggle-evidence/gnaninet-eeg-eyestate-benchmark/gnaninet-eeg-eyestate-benchmark.log"
    },
    {
      "notebook": "gnaninet-har-benchmark",
      "url": "https://www.kaggle.com/code/samareddy94/gnaninet-har-benchmark",
      "accuracy": 0.9488,
      "parameters": 15416,
      "latency_us": 70.5,
      "log_path": "kaggle-evidence/gnaninet-har-benchmark/gnaninet-har-benchmark.log"
    }
  ],
  "interpretation": "Notebook outputs verify our reported metrics, not global ranking. Baseline comparison tables are authored notebook content, not independently rerun baselines. Parameter count is not a measure of FLOPs or matched-hardware latency.",
  "competition_submissions": [
    {
      "competition": "neurogolf-2026",
      "date": "2026-04-27",
      "public_score": 806.3,
      "private_score": 806.3,
      "submission_description": "53 tasks: +130,223,292 analytical block-summarize+upscale+periodic",
      "source": "Kaggle CLI competition submission history"
    },
    {
      "competition": "playground-series-s6e4",
      "date": "2026-04-15",
      "public_score": 0.9082,
      "private_score": 0.909,
      "parameters_from_description": 14851,
      "source": "Kaggle CLI competition submission history"
    }
  ]
}