Imaging is one of the techniques used to visualize the internal structure of MRI Images, which is used to detect tumors. Classifying Tumor in MRI image data is challenging task. Features are extracted from MRI images by using wavelet decomposition method and feature reductions are obtained based on Singular Value Decomposition (SVD) techniques. For analytical data mining Boosting algorithm is used to produce a sequence of classifiers. The hybrid-learning techniques are used to boost the classification accuracy. The optimized Genetic Algorithm (GA) - Artificial Bee Colony (ABC) algorithm are proposed to increase the classification accuracy of tumor detection in MRI Images © 2022 Elsevier B.V., All rights reserved.