Article

Comparative Evaluation Of Machine Learning Classifiers For Brain Tumor Detection

2024-08-01

Abstract excerpt

This study evaluates the effectiveness of six machine learning classifiers—Support Vector Classifier (SVC), Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, Decision Tree, and Random Forest—in detecting brain tumors using numerical data rather than traditional imaging techniques like MRI. The results emphasize the importance of data preprocessing, particularly feature scaling, in enhancing model perfor...

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Literature Corpus work: 150cc076-e7f7-5770-b37b-6836d15258e6
DOI: 10.1101/2024.07.28.24311114

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