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Machine learning modeling for orthopedic diagnosis classification

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orthopedic_classification

Response to https://www.kaggle.com/uciml/biomechanical-features-of-orthopedic-patients

Classification of othopedic patients based on biometric data. Achieves 87.1% accuracy on test data in determining appropriate diagnosis for patients.

Uses logistic regression, decision trees, random forests, k-nearest neighbors, stochastic gradient descent, and naive bayes classifiers.

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Machine learning modeling for orthopedic diagnosis classification

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