A median based machine-learning approach for predicting random sampling bernoulli distribution parameter

In this paper, we propose a median-based machinelearning approach and algorithm to predict the parameter of the Bernoulli distribution. We illustrate the proposed median approach by generating various sample datasets from Bernoulli population distribution to validate the accuracy of the proposed approach.