Aim: This research is about the novel brain tumor detection of Brain tumors by implementing Machine learning algorithms like Logistic Regression (LR) and comparing its accuracy with a Support Vector Machine (SVM). Materials and Methods: Two groups, namely Logistic Regression and Support Vector Machine algorithm used to find the accuracy of Brain tumor prediction with 20 samples each to evaluate this study. The sample size was calculated using G power with pretest power at 80% and alpha value of 0.05. Brain MRI of Normal and Brain tumors were used as data models to train with the LR and SVM algorithms. Results: The accuracy of LR is 87.5% and the SVM with 75% and there is a statistical significance observed as 0.890. Conclusion: Logistic Regression algorithm has more accuracy compared to the Support Vector Machine.