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+# Prediction-of-Risk-of-Sepsis-using-ML-models-on-big-data
+Determine the development of sepsis in hospital-administered patients earlier than the clinical predictions.
+Data has been collected from over 1 million ICU patients with up to 40 clinical variables from 3 separate hospitals.
+Various machine learning model was tried like Logistic Regression, SVM, Naïve Bayes, Random Forest. 
+Random Forest performs the best with an accuracy of 87% and f1 score of 91%.