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Namakuto / XGBoost-Ontario-Road-Pavement-Quality

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This notebook (in Python) used eXtreme Gradient Boosting (XGBoost) to predict for good or bad road pavement condition in Ontario. I also performed random search hyperparameter optimization, k-folds stratified cross-validation, and tested what features could be removed from the model without sacrificing its balanced accuracy.

python xgboost random-search hypterparameter-optimization
  • Updated May 16, 2021
  • Jupyter Notebook

Akash1070 / Machine-Learning-

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Learning Machine Learning Through Data

python data-science machine-learning naive-bayes linear-regression logistic-regression support-vector-machine random-search k-nearest-neighbours hierarchical-clustering receiver-operating-characteristic k-means-clustering leave-one-out-cross-validation area-under-curve bootstrap-sampling k-fold-cross-validation underfitting-overfitting grid-search-cv ensemble-techniques
  • Updated Sep 7, 2022
  • Jupyter Notebook

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