论文信息 - Source of Treatment Selection for Different States of India and Performance Analysis Using Machine Learning Algorithms for Classification

Source of Treatment Selection for Different States of India and Performance Analysis Using Machine Learning Algorithms for Classification

Pregnancy or gestation is a critical stage of women’s life. Pregnancy outcome depends on various factors including selection of source of treatment (child birth place), complication of pregnancy, expenditure of delivery, etc. The paper mainly focuses on selection of source of treatment as well as analyzes the performance of various machine learning algorithms Naive Bayes, Decision Tree, Random Forest, and Support Vector Machine with respect to the accuracy, standard deviation, and runtime. The dataset has been collected from Kaggle website of India’s different states mainly Chhattisgarh, Assam, Bihar, Madhya Pradesh, Jharkhand, and Rajasthan. Implementation of the work has been done using Rapid Miner Tool 9.0 version.

Pooja Singh | Jyoti Gautam | Santar Pal Singh | Nitima Malsa | Arpita Srivastava

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