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# feature importance plot
xgb.plot.importance(importance_matrix[1:10,])
bst <- xgb.train(data=dtrain, max.depth=5.5, eta=.02, nthread = 2, nround=5, watchlist=watchlist, objective = "binary:logistic")
xgb.dump(bst, with.stats = T)
xgb.plot.tree(model = bst)
importance_matrix <- xgb.importance(model = bst)
xgb.plot.importance(importance_matrix = importance_matrix)
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