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项目作者： SoniSiddharth

项目描述 ：
Machine Learning - Decision tree model implementation from scratch
高级语言： Python
项目地址: git://github.com/SoniSiddharth/ML-Decision-Trees-from-scratch.git


Decision Trees and Random Forests ⭐🌳⭐

Directory Structure: 📁

  1. │   ADABoost_test.py
  2. │   assignment_q4_subjective_answers.md
  3. │   Bagging_test.py
  4. │   estate-experiments.py
  5. │   experiments.py
  6. │   iris-experiments.py
  7. │   Makefile
  8. │   metrics.py
  9. │   Random_forest.py
  10. │   random_forest_iris.py
  11. │   README.md
  12. │   realestate.csv
  13. │   usage.py
  14. │
  15. ├───ensemble
  16. │       ADABoost.py
  17. │       bagging.py
  18. │       __init__.py
  19. │
  20. ├───images
  21. │
  22. └───tree
  23.         base.py
  24.         randomForest.py
  25.         utils.py
  26.         __init__.py

Instructions to run 🏃

make help
make decision_tree
make iris
make real_estate
make experiments
make adaboost
make bagging
make random_forest
make random_forest_iris

Time and Sampling plots: ⏰

DIDO Training

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DIDO Prediction

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DIRO Training

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DIRO Prediction

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RIDO Training

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RIDO Prediction

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RIRO Training

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RIRO Prediction

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Adaboost: 💥

Decision Tree Estimator Plot

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All Estimators Individual Decision Surface

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Combined Decision Surfaces

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  • IRIS Dataset

Decision Tree Estimator PLot

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All Estimators Individual Decision Surface

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Combined Decision Surfaces

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Bagging: 👊

Decision Tree Estimator Plot

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All Estimators Individual Decision Surface

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Random Forest: 🌳🌳

Decision Tree Estimator Structure

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All Estimators Individual Decision Surface

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Combined Decision Surfaces

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