Nonoverlap proportion and the representation of point-biserial variation
Fig 5
The relation between rpbd and ρpb in rCART.
These graphs display data obtained from association graphs for 380 pairs of quality measures, {(Qi, Qj)|i ≠ j}. A. rpbd effect size for rCART split versus correlation r(Qi, Qj). On average, the largest information gain is obtained when the response and partition variables are highly correlated. B. Correlation r(rpbd, ρpb) between effect size and r(Qi, Qj) for association graphs. There is good correlation between rpbd and ρpb in many cases, but there are exceptions.