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Piotr Szczuko

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#machine learning Open access May 2025

Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson’s disease classification

A range of ML models are evaluated-Logistic Regression, Decision Tree (DT), Random Forest (RF), Gradient Boosting (GB), Naive Bayes (NB), Support Vector Machine (SVM), and AdaBoost (AdB)-on these datasets, analyzing prediction accuracy, model size, and prediction latency.

S. Bhat, Piotr Szczuko · Scientific Reports · 11 citations