Universal fit function (Sequential)
1 2 3 4 5 6 7 | fit(data, dep, indep, classifier = "lr",
classifier.params = list(rf.ntree = 100, rf.mtry = NULL, c5.0.trials =
40, c5.0.rules = TRUE, c5.0.winnow = FALSE, nb.fL = 0, nb.adjust = 1,
svm.gamma = NULL, svm.cost = 1), params.tuning = FALSE,
normalize = "no", rebalance = "no", validation = "boot",
validation.params = list(cv.k = 10, boot.n = 100),
prob.threshold = 0.5, repeats = 1)
|
data |
a dataframe for input data |
dep |
a character for dependent variable |
indep |
a vector of characters for independent variables |
classifier |
a character for classifier techniques, i.e., lr, rf, c5.0, nb, and svm |
classifier.params |
a list of parameters for an input classifier technique |
params.tuning |
a boolean indicates whether to perform parameters tuning |
normalize |
a character for normalization techniques, i.e., log, scale, center, standardize, and no for non-normalization#' |
rebalance |
a character for a choice of data sampling techniques, i.e., up for upsampling, down for downsampling, and no for no-sampling (default: "NO") |
validation |
a character for a choice of validation techniques, i.e., boot for bootstrap validation technique, cv for cross-validation technique, and no for constructing a model with the whole dataset without model validation (default: "boot") |
validation.params |
a list of parameters for an input validation techniques (default: list(cv.k = 10, boot.n = 100)) |
prob.threshold |
a numeric for probability threshold (default: 0.5) |
repeats |
a numeric for number of repetitions (default: 1) |
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