Med camp one of the organisation built a health camp for the low life work balance , our aim to generate target variable with the attributes like health camp detail , patient details , health camp 1 , camp 2 and camp 3 We did a predictive modeling by extracted some of the features on dates and other attritubes like linkedin shared , facebook shared , age , income and employer details Final model comprise of ~13 features with the blend of logistic regression , deccision trees and xg boost which gives us the auc of ~0.81 on the public leaderboard and ~0.75 on private leaderboard Final standing 27th out of 286 participants
