Update understandingXGBoostModel.Rmd
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@ -111,13 +111,13 @@ Look at the function documentation for more information.
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```{r crossValidation}
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```{r crossValidation}
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numberOfClasses <- max(y)
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numberOfClasses <- max(y) + 1
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param <- list("objective" = "multi:softprob",
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param <- list("objective" = "multi:softprob",
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"eval_metric" = "mlogloss",
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"eval_metric" = "mlogloss",
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"num_class" = numberOfClasses + 1)
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"num_class" = numberOfClasses)
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cv.nround <- 50
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cv.nround <- 5
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cv.nfold <- 3
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cv.nfold <- 3
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bst.cv = xgb.cv(param=param, data = trainMatrix, label = y,
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bst.cv = xgb.cv(param=param, data = trainMatrix, label = y,
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