Abstract:
Brain tumor is a very panic issue because many people have died from this problem. Early
detection of brain tumors can save many lives. Magnetic resonance imaging (MRI) is more
effective than any other technique. In this study, we used an ensemble of machine learning
algorithms to identify tumors in the brain at an early stage. We have done our task in several
steps. At first, we collect data then analyze and filter the data by using and following tricks and
techniques. Next, we use our covetable algorithms. At the end of our task, we found out about
our algorithm. The average accuracy of our model is 99.80% and the highest accuracy is
99.20% which contains the XGBoost classifier algorithm.
Index Terms—Brain Tumor, Machine Learning, Ensemble, Feature Extraction, XGB,
ADB,R
