International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-5, January 2020 5353 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: E6754018520/2020©BEIESP DOI:10.35940/ijrte.E6754.018520 Prediction of Prostate Cancer using Machine Learning Algorithms Muktevi Srivenkatesh Abstract: Background/Aim: Prostate cancer is regarded as the most prevalent cancer in the word and the main cause of deaths worldwide. The early strategies for estimating the prostate cancer sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered informational collection from kaggle and we have done pre-processing tasks for missing values .We have three missing data values in compactness attribute and two missing values in fractal dimension were replaced by mean of their column values .The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a prostate cancer disease or not and to provide an awareness or diagnosis on that. This is done by comparing the accuracies of applying rules to the individual results of Support Vector Machine, Random forest, Naive Bayes classifier and logistic regression on the dataset taken in a region to present an accurate model of predicting prostate cancer disease. Results: The machine learning algorithms under study were able to predict prostate cancer disease in patients with accuracy between 70% and 90%. Conclusions: It was shown that Logistic Regression and Random Forest both has better Accuracy (90%) when compared to different Machine-learning Algorithms. Keywords: Cardiovascular disease, Machine Learning Algorithms, Performance Evaluators, toxins I. INTRODUCTION Classification is significant component of data mining .Classification is the way toward finding a model (or capacity) that depicts and recognizes information classes or ideas. The model is inferred dependent on the investigation of a lot of preparing Prostate data (i.e., data objects for which the class marks are known). The model is utilized to foresee the class name of items for which the class name is having the prostate cancer malady or not having prostate cancer ailment that is obscure. Machine Learning examines how computers can learn (or improve their exhibition) in view of prostate cancer information. The primary research zone is for computer projects to consequently figure out how to perceive complex examples and settle on clever choices dependent on Prostate Cancer data. Supervised learning is fundamentally an equivalent word for arrangement. The supervision in the taking in originates from the named models in the Prostate Cancer preparing data collection. Revised Manuscript Received on January 24, 2020. Dr. M, Srivenkatesh, Associate Professor, Department of Computer Science, GITAM Deemed to be University, Visakhapatnam, India. Email:msvenkatesh9@gmail.com Prostate Cancer is very important health issue and needs to have very much need to take care. There has been a lot of research on cancer diagnosis by using machine learning techniques. In [1], Decision Tree, Logistic Regression (LR) and Artificial Neural Network (ANN) are employed to evaluated prostate cancer survivability. Cancer survival forecasting may be attempted using model constructed through predictive techniques of various kinds, including statistical multivariate regression and machine learning [2]. The remaining of the research discussion is organized as follows: Section II briefs Literature , Section III describes brief description of selected machine learning algorithms Section IV describes Patient Data Set and attributes, Section V discusses Proposed Technique ,Section VI describes analysis of various algorithms, Section VII Describes Performance measure of classification, Section VIII briefs discussion and evaluated Results, and Section X determines the Conclusion of the research work and last Section describes References. Prostate Cancer and its Symptoms Prostate malignant growth is a typical sort of disease in guys, however it is exceptionally treatable in the beginning times. It starts in the prostate organ, which sits between the penis and the bladder. The prostate has different capacities, including:  producing the liquid that sustains and ship sperm.  secreting prostate explicit antigen (PSA), a protein that assists semen withholding its fluid state.  helping aid urine control.  Guys who do encounter side effects may take note:  difficulty beginning and looking after urination  a visit desire to urine, particularly around evening time  blood in the urine or semen  painful urination  in a few cases, torment on discharge  difficulty getting or keeping up an erection  pain or uneasiness when sitting, if the prostate is broadened Propelled indications Propelled prostate malignant growth can include the accompanying indications:  bone break or bone torment, particularly in the hips, thighs, or shoulders  edema, or growing in the legs or feet  weight misfortune  tiredness  changes in gut propensities  back torment