I ran a classification problem using random forest to predict whether a customer will have more than zero revenue in the next 12 months. I am getting a gini of 95 and accuracy of 90% as well. I know what accuracy means from the coefficient matrix but I am wondering what a high gini implies and cannot find anything online? An explanation or link to one would be very useful

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    $\begingroup$ The Gini index is a measure of homogeneity in the dual partition created by each node of each tree in the forest. $\endgroup$ – Xi'an Jan 8 at 21:12
  • $\begingroup$ So a high gini implies that the node splits are highly homogeneous? Sorry I am still trying to wrap my head around this concept $\endgroup$ – Molia Jan 8 at 21:26

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