Indonesian Journal of Electrical Engineering and Computer Science Vol. 27, No. 1, July 2022, pp. 171~180 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v27.i1.pp171-180  171 Journal homepage: http://ijeecs.iaescore.com A comparative study to predict breast cancer using machine learning techniques Shiva Shankar Reddy, Neelima Pilli, Priyadarshini Voosala, Swaroop Ravi Chigurupati Department of Computer Science and Engineering, Sagi Rama Krishnam Raju Engineering College, Bhimavaram, India Article Info ABSTRACT Article history: Received Jan 23, 2022 Revised May 21, 2022 Accepted Jun 2, 2022 Detection of disease at the starting stage is a very crucial problem. As the population growth increases, the risk of death incurred by breast cancer rises exponentially. Breast cancer is the most common cancer in women, and it is also the most dangerous of all cancers. Deaths because of breast cancer have been increasing in recent times. Earlier detection of the disease followed by treatment can reduce the risk and increase survival chances. There will be cases where even medical professionals can make mistakes in identifying the disease. This project deals with the detection of Breast cancer using the cell data of the tumor present in the breast. So, with the help of technologies in machine learning and artificial intelligence can substantially improve the diagnosis accuracy. The development of this project is beneficial in medical decision support systems. Several machine learning techniques, namely Adaboost, multi-layer perceptron (MLP) and stacking classifier; were used, and among all the algorithms, the stacking classifier results in the best accuracy. The accuracies 95.6%, 97.1%, and 99.2 % respectively. Keywords: Adaboost Artificial intelligence Breast cancer Machine learning Multi-layer perceptron This is an open access article under the CC BY-SA license. Corresponding Author: Shiva Shankar Reddy Department of Computer Science and Engineering, Sagi Rama Krishnam Raju Engineering College Bhimavaram, Andhrapradesh, 534204, India Email: shiva.shankar591@gmail.com 1. INTRODUCTION Cancer is a disease that develops when the body's abnormal cells multiply uncontrollably. Instead of dying, old cells expand out of control, leading in the production of new, and abnormal cells. These extra cells may cluster together to form a tissue mass called a tumour [1]. Breast cancer (BC) occurs when malignant cells in the breast proliferate uncontrollably. BC is most typically seen in the lobules or ducts. While the milk glands are known as lobules, the milk ducts are known as ducts since they are responsible for transporting the milk from the glands to the nipple region of the breast. BC can also be found in adipose tissue and fibrous connective tissue [2]. In its early stages, BC may not cause any symptoms. Mammography may identify an anomaly even if a tumour is too small to feel. A new lump in the breast that wasn't there before is usually the first indicator of a tumour. However, not all bumps are malignant [3].The following are symptoms of the most frequent BC: i) entire breast is covered with red, pitted skin, ii) a lump or swelling on the underneath of your arm, iii) a lump or swelling in one or both breasts, iv) a bloody discharge from your nipple, and v) a rapid, inexplicable change in the shape or size of your breast [4]. BC is divided into two types: "invasive" and "noninvasive," sometimes known as "in situ" cancer. BC is classified into five stages based on the size of the tumour(s) and the extent to which they have spread [5]:  Stage 0: This type of BC is also known as noninvasive BC. There are no indicators that the disease has gone beyond the breast, and there are no signs that it has spread to the lymph nodes.  Stage I: The malignancy is less than 2 cm in diameter and hasn't spread.