{"name": "Supervised Classifier", "package_name": "supervised_classifier", "version": "1.0.6", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 3623, "uploaded_by": "mirjanalisha", "upload_datetime": "2025-12-31T12:30:27.141276", "changelog": "1.0.6 (January 2025)\r\n    - NEW: Gradient Boosting Classifier - powerful sequential ensemble method\r\n    - NEW: Accuracy Assessment Dialog with Confusion Matrix, Kappa, Precision/Recall/F1\r\n    - NEW: Feature Importance display for RF, Gradient Boosting, and LDA\r\n    - NEW: Export training samples as CSV for external analysis\r\n    - NEW: Import training samples from CSV (use pre-extracted training data)\r\n    - NEW: Multi-raster sample collection - extract samples from overlapping/adjacent rasters\r\n    - NEW: CRS Analysis Dialog - detailed table showing all input CRS with suggestions\r\n    - NEW: CRS validation - warns if raster and reference have different projections\r\n    - NEW: Training balance check - warns about class imbalance\r\n    - UI: Added tooltips to all UI elements with algorithm descriptions\r\n    - UI: New checkboxes for accuracy assessment, CSV export, and multi-raster options\r\n    - IMPROVED: Better organized code with analysis_utils.py module", "external_deps": null, "download_url": "https://plugins.qgis.org/plugins/supervised_classifier/version/1.0.6/download/"}