  Membership of stars in open clusters is one of the most crucial parameters in
studies of star clusters. Gaia opened a new window in the estimation of
membership because of its unprecedented 6-D data. In the present study, we used
published membership data of nine open star clusters as a training set to find
new members from Gaia DR2 data using a supervised random forest model with a
precision of around 90\%. The number of new members found is often double the
published number. Membership probability of a larger sample of stars in
clusters is a major benefit in determination of cluster parameters like
distance, extinction and mass functions. We also found members in the outer
regions of the cluster and found sub-structures in the clusters studied. The
color magnitude diagrams are more populated and enriched by the addition of new
members making their study more promising.
