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kkn

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This project predicts land cover types using machine learning models like Random Forest, KNN, Decision Tree, Logistic Regression, and Naive Bayes on the Roosevelt National Forest dataset. The goal is to build an accurate classification model through data preprocessing, model training, and evaluation

  • Updated May 15, 2025
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