This repository contains the workflow and data for a machine learning project aimed at developing a cancer diagnosis model in KNIME. We evaluate the performance of two popular machine learning models, Naiive Bayes and Support Vector Machine (SVM), using precision and recall metrics
This repository contains the workflow and data for a machine learning project aimed at developing a cancer diagnosis model in KNIME. We evaluate the performance of two popular machine learning models, Naiive Bayes and Support Vector Machine (SVM), using precision and recall metrics