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precision-recall-f1-score-graph

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SCUS3 / Classification-Model-Evaluation

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This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.

naive-bayes scikit-learn support-vector-machines multi-layer-perceptron k-nearest-neighbours linear-discriminant-analysis pandas-library matpolotlib precision-recall-f1-score-graph classification-model-evaluation
  • Updated Jun 6, 2024
  • Python

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