when is gain ratio required to be calculated
Information gain ratio In decision tree learning, Information gain ratio is a ratio of information gain to the intrinsic information. It is used to reduce a bias towards multi-valued attributes by taking the number and size of branches into account when choosing an attribute.[1]
Mass-to-charge ratio Some fields use the charge-to-mass ratio (Q/m) instead, which is the multiplicative inverse of the mass-to-charge ratio. The 2014 CODATA recommended value for an electron is ​e⁄me = - 7011175882002400000♠1.758820024(11)×1011 C/kg.[2]