v1.2.0 — Random Forest

Added

• Random Forest classifier (ml/forest.go)
  • Bootstrap sampling with configurable number of trees
  • Feature bagging (sqrt(n_features) by default)
  • Out-of-bag (OOB) score for free validation without a separate test set
  • Feature importance averaged across all trees
  • Probability prediction (PredictProba)
• CONTRIBUTING.md — local setup, test/benchmark commands, project structure, and the "what we're looking for" list (SVM, PCA, ensemble methods, perf, docs).

Changed

• README ML table and roadmap row updated to reflect Random Forest shipping.
• v2.0.0 roadmap row narrowed to SVM, PCA, and ensemble methods.

Install: go get github.com/rbmuller/datatrax@v1.2.0