  The stellar kinematics of the Galactic disk are main factors for constraining
disk formation and evolution processes in the Milky Way (MW) Galaxy. In this
paper we investigate a statistical relation between stellar Mass, Age and
Velocity Dispersion for stars in the Solar neighborhood. Age-Velocity
dispersion relations (AVR), with their applications, have been studied in
details before. But their correlation with mass was mostly neglected. To
investigate this relation, we use the proper motion data of more than 113035
stars in the Galactic disk (with Solar distances less than 150 parsecs)
provided by the third data release of the \textit{Gaia} mission and for stellar
Mass and Age, \textit{Gaia}'s Final Luminosity Age Mass Estimator
(\textit{FLAME}) is implemented. We analyze this data and the correlations
between the parameters with Random Forrest (RF) Regression, which is an
Ensemble statistical learning technique. Finally, we show that by considering
the stellar mass alongside age, we can determine Velocity Dispersions with the
average relative error, and mean absolute error of about $9\%$, and
$2.68~\rm{km/s}$, respectively. We also find that the correlation of stellar
age with Velocity Dispersion is $3$ to $8$ times more than mass, which varies
due to the different stellar types and masses.
