International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 138 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Research Paper | Computer Science & Engineering | India | Volume 9 Issue 8, August 2020


Cancer Prediction Using Machine Learning Algorithms

Mohit Agrawal


Abstract: The main objective of this project to build the model for predicting cancer using a support vector machine classifier algorithm and compare the accuracies on different kernels and apply the various parameters on the efficient one kernel. The cancer dataset will be imported from the scikit-learn library. Cancer has been characterized as a heterogeneous disease consisting of many various subtypes. The soon diagnosis and prognosis of a cancer type have becomes a need in cancer research, as it can facilitate the subsequent clinical management of patients. these technique include Artificial Neural Network, Bayesian Networks, Support Vector Machines and Decision Trees have been widely apply in cancer research for the development of predictive prototype, results in effective and accurate decision making. Even though it is obvious that the use of ML methods can improve our understanding of cancer progression, an appropriate level of validations is needed in order for these methods to be Consider in the everyday clinical practice. In this work, we present a review of Machine learning approaches employed in the modeling of cancer progression. The predictive models discussed here are based on various supervised Machine learning techniques as well as on different input features and data samples. The using Algorithm KNN (K Nearest Neighbors), SVM (Support Vector Machine), LR (Logistic Regression), NB (Nave Bayes) and also evaluate and compare that the classification of accuracy, precision, recall, f1-score. the UCI machine learning dataset will be partitioned as 75 % for training phase and 25 % for the testing phase and then apply all algorithm is best performance of All parameter.


Keywords: Cancer data set, Support Vector Machine, Kernels, Labels, Target Values


Edition: Volume 9 Issue 8, August 2020,


Pages: 281 - 286


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Mohit Agrawal, "Cancer Prediction Using Machine Learning Algorithms", International Journal of Science and Research (IJSR), Volume 9 Issue 8, August 2020, pp. 281-286, https://www.ijsr.net/get_abstract.php?paper_id=SR20801174131

Similar Articles with Keyword 'Support Vector Machine'

Downloads: 174 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020

Pages: 457 - 461

Artificial Intelligence for Hiring

Ishan Borker | Ashok Veda [2]

Share this Article

Downloads: 0

Comparative Studies, Computer Science & Engineering, India, Volume 12 Issue 5, May 2023

Pages: 194 - 199

A Comparative Study of Analyzing Breast Cancer as Benign or Malignant using Machine Learning Algorithms

Nigel Jonathan Renny | Timothy William Richard | Dr. M. Maheswari

Share this Article
Top