xgb_cdi: XGBOOST Algorithm

In PippintheFoolhardy/SimFunctions: CDI Simulator R Functions

Description

Use the R XGBOOST machinel-learning algorithm

Usage

xgb_cdi(train, test, folds = 5L, scoring = "ROC", scale = 1L)

Arguments

train	Data to train the model on
test	Data to test the model on
folds	Number of cross-validation folds
scoring	Method of scoring to judge model accuracy
scale	Scaling of the importance of the positive class

Value

Model and area under the curve of the model (AUC)

Examples

results <- xgb_cdi(train, test, folds = 5L, scoring = "ROC", scale = 1L)

PippintheFoolhardy/SimFunctions documentation built on Dec. 18, 2021, 7:43 a.m.