Notebooks classificador terminados

2026-05-06 21:43:32 +01:00
parent 69666d6aa0
commit 522a8f8d46
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 {
  "phase": "phase4",
  "best_auc_run": "p4_convnext_tiny_100pct",
  "best_auc": 0.9954,
  "selected_detector_run": "p4_convnext_tiny_100pct",
  "selected_detector_reason": "Lowest false positive rate on real images and best balanced accuracy at 100% data.",
  "notes": [
    "20% rows come from the matching Phase 3 runs and act as scaling anchors.",
    "50% and 100% rows come from Phase 4 logs.",
    "ConvNeXt-Tiny is the AUC winner and also the practical detector when false positives on real images matter most."
  ],
  "summary_rows": [
    {
      "model": "ResNet50",
      "scale_pct": 20,
      "run": "p3_resnet50",
      "auc": 0.9857046296296297,
      "accuracy": 0.9532083333333334,
      "f1": 0.9687705256330055,
      "balanced_accuracy": 0.9385277777777778,
      "macro_f1": 0.9377251247311893
    },
    {
      "model": "ResNet50",
      "scale_pct": 50,
      "run": "p4_resnet50_50pct",
      "auc": 0.9921022333333335,
      "accuracy": 0.9607166666666667,
      "f1": 0.973649056957159,
      "balanced_accuracy": 0.9536555555555555,
      "macro_f1": 0.9482411270477236
    },
    {
      "model": "ResNet50",
      "scale_pct": 100,
      "run": "p4_resnet50_100pct",
      "auc": 0.9949671268518518,
      "accuracy": 0.9692166666666667,
      "f1": 0.9793757797895071,
      "balanced_accuracy": 0.9638111111111111,
      "macro_f1": 0.9593474615494658
    },
    {
      "model": "EfficientNet-B0",
      "scale_pct": 20,
      "run": "p3_efficientnet_b0",
      "auc": 0.9844867592592592,
      "accuracy": 0.9450000000000001,
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      "balanced_accuracy": 0.9397222222222222,
      "macro_f1": 0.9284971237471479
    },
    {
      "model": "EfficientNet-B0",
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      "run": "p4_efficientnet_b0_50pct",
      "auc": 0.9911186185185186,
      "accuracy": 0.9576499999999999,
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      "balanced_accuracy": 0.9541444444444445,
      "macro_f1": 0.9446884831225546
    },
    {
      "model": "EfficientNet-B0",
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      "run": "p4_efficientnet_b0_100pct",
      "auc": 0.9949471324074075,
      "accuracy": 0.96835,
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      "macro_f1": 0.9584469550394183
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    {
      "model": "ConvNeXt-Tiny",
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      "run": "p3_convnext_tiny",
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      "macro_f1": 0.9292641404681354
    },
    {
      "model": "ConvNeXt-Tiny",
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      "run": "p4_convnext_tiny_50pct",
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    },
    {
      "model": "ConvNeXt-Tiny",
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      "run": "p4_convnext_tiny_100pct",
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      "balanced_accuracy": 0.9662444444444445,
      "macro_f1": 0.9579703600254157
    }
  ]
 }