Version: [3406] Supervised Classifier 1.0.6

1.0.6 (January 2025)
    - NEW: Gradient Boosting Classifier - powerful sequential ensemble
method
    - NEW: Accuracy Assessment Dialog with Confusion Matrix, Kappa,
Precision/Recall/F1
    - NEW: Feature Importance display for RF, Gradient Boosting, and
LDA
    - NEW: Export training samples as CSV for external analysis
    - NEW: Import training samples from CSV (use pre-extracted
training data)
    - NEW: Multi-raster sample collection - extract samples from
overlapping/adjacent rasters
    - NEW: CRS Analysis Dialog - detailed table showing all input CRS
with suggestions
    - NEW: CRS validation - warns if raster and reference have
different projections
    - NEW: Training balance check - warns about class imbalance
    - UI: Added tooltips to all UI elements with algorithm
descriptions
    - UI: New checkboxes for accuracy assessment, CSV export, and
multi-raster options
    - IMPROVED: Better organized code with analysis_utils.py module

yes

mirjanalisha

2025-12-31T18:30:27.141276+00:00

3.0.0

3.99.0

None

no

Version management

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