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Using the randomForest package in R, I fitted a customer churn dataset to a random forest model. The first objective was to identify the most important variables in my dataset.

Using the varImpPlot function, I got a graph that looks like this.

What is the best way to interpret these results? Any inputs will be highly appreciated.

enter image description here

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The meanDecreaseGini means exactly that: The average decrease in Gini impurity over all splits using the respective variable.

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