is an episode when a patient who had been discharged from a hospital is admitted again within a specified time interval. Readmission rates have increasingly been used as an outcome measure in health services research
and as a quality benchmark for health systems. Insurance companies and other payers sometimes view unplanned hospital readmission's as wasteful spending .To penalize these readmission rates, measures are to be taken by hospitals. Machine learning models are used to overcome and analyse this problem. "Predicting whether a patient is readmitted to hospital or not" address the problem. A data set that represents 10 years (1999-2008) of clinical care at 130 US hospitals, which has 50 features and 101766 records of patients and hospital outcomes.