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leaves-ph

Tabular Classification
Scikit-learn
Joblib
remote-sensing
tree-canopy
sentinel-2
philippines
metro-manila
civic-technology
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leaves-ph
File size: 1,510 Bytes
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{
  "n": 656,
  "n_canopy": 115,
  "baseline_ndvi>0.62": {
    "precision": 0.691,
    "recall": 0.669,
    "f1": 0.68,
    "iou": 0.515,
    "accuracy": 0.936,
    "pred_canopy_pct": 9.793,
    "truth_canopy_pct": 10.114
  },
  "ndvi_only": {
    "threshold": 0.54,
    "precision": 0.622,
    "recall": 0.678,
    "f1": 0.649,
    "iou": 0.481,
    "accuracy": 0.926,
    "pred_canopy_pct": 11.025,
    "truth_canopy_pct": 10.114
  },
  "ndvi+dw": {
    "threshold": 0.2,
    "precision": 0.519,
    "recall": 0.758,
    "f1": 0.616,
    "iou": 0.445,
    "accuracy": 0.904,
    "pred_canopy_pct": 14.774,
    "truth_canopy_pct": 10.114
  },
  "ndvi+dw+esa": {
    "threshold": 0.26,
    "precision": 0.708,
    "recall": 0.77,
    "f1": 0.738,
    "iou": 0.584,
    "accuracy": 0.945,
    "pred_canopy_pct": 10.992,
    "truth_canopy_pct": 10.114
  },
  "ndvi+dw+meta+esa": {
    "threshold": 0.38,
    "precision": 0.716,
    "recall": 0.821,
    "f1": 0.765,
    "iou": 0.619,
    "accuracy": 0.949,
    "pred_canopy_pct": 11.598,
    "truth_canopy_pct": 10.114
  },
  "ndvi+dw+meta+esa+density": {
    "threshold": 0.24,
    "precision": 0.65,
    "recall": 0.808,
    "f1": 0.721,
    "iou": 0.563,
    "accuracy": 0.937,
    "pred_canopy_pct": 12.579,
    "truth_canopy_pct": 10.114
  },
  "all_minus_ndvi": {
    "threshold": 0.72,
    "precision": 0.659,
    "recall": 0.607,
    "f1": 0.632,
    "iou": 0.462,
    "accuracy": 0.929,
    "pred_canopy_pct": 9.314,
    "truth_canopy_pct": 10.114
  }
}