Predicting Brain Tumors Using Machine Learning Techniques

Abstract

Brain cancer or any Central Nervous System based cancer is one of the significant reasons for death worldwide. Classification is a method to speculate the target class from the data input according to the vast data population considered the training set for training the algorithm for machine learning. This research aims to examine various healthcare factors to trace or predict if a brain tumor has maximum accuracy. ML's technique is being used productively for detecting brain tumors and preventing it at an early stage. The efficacy of the four classifiers in predicting brain tumors  is demonstrated. The four classification algorithms are compared, considering various factors to develop the most productive algorithm for predicting the provided dataset's values