The enormous growth in the medical technologies and the availability of clinical data has motivated researchers to progress much towards predictive analytics. Integrating machine learning techniques to healthcare domain has a progressive outcome called Computer Aided Diagnosis. A comparative analysis is presented to study the suitability of machine learning algorithms for benchmark breast cancer data. Statistical non-parametric evaluation is also carried out to indicate the integrity of the framework. © 2021 Institute of Physics Publishing. All rights reserved.