This study consists of a comparative analysis of various machine learning models on vertebral column dataset.

Comparison of scratch-implemented and sklearn nearest neighbors methods for classification of vertebral patient data. Using multiple distance metrics, models were k-value optimized to reduce error rates.

Exploring and implementing the KNN algorithm to predict orthopedic patients with spinal pathology disease using the Vertebral Dataset.