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Logistic Regression Analysis as a Future Predictor

Jay Torasakar, Rakesh Prabhu, Pranay Rambade, Manoj Kumar Shukla

This paper presents a basic idea on Logistic Regression Analysis as a future predictor system. Logistic Regression is a mathematical model based approach which is widely applied in various important field like Data Mining, Prediction Mining, Machine Learning, etc. The main objective of this paper is to give a brief explanation about logistic model in regression analysis. It describes all the necessary and basic steps involved in determination of possible outcome using available past data ie. Training Data. This concept can be implemented easily to any real world applications where consideration of future outcome plays a vital role and some of them are listed viz. placement prediction of engineering students, predicting the cancer symptoms of patient, possibilities of obesity in childhood, etc.