Machine Learning, Survival Analysis, Python, Churn, Regression.
subjects surviving divided by the number of people at risk. The censored subjects are not counted in the denominator[4]. The equation is given as follows: Here, ni represents the number of subjects at risk prior to time t. di represents the number of the event of interest at time t. For the