Write dmcas_roc Json

Calculates the ROC curve from user data and writes it to a JSON file for importing into the common model repository. Binary response only.

calculateROCStat(
  targetName,
  targetPredicted,
  validadedf = NULL,
  traindf = NULL,
  testdf = NULL,
  targetEventValue = 1,
  label.ordering = c(0, 1),
  path = "./",
  noFile = FALSE
)

Arguments

targetName

target variable column name (actuals)

targetPredicted

target variable predicted probability column name

validadedf

data.frame where the first column in the yActual (labels/value) and the second is yPrediction (target probability)

traindf

data.frame where the first column in the yActual (labels/value) and the second is yPrediction (target probability)

testdf

data.frame where the first column in the yActual (labels/value) and the second is yPrediction (target probability)

targetEventValue

target class name for ROC reference, if model is nominal, all other class will be counted as "not target"

label.ordering

The default ordering (cf.details) of the classes can be changed by supplying a vector containing the negative and the positive class label. See ROCR::prediction()

path

default to current work dir

noFile

if you don't want to write to a file, only the output

Value

• list that reflects the 'dmcas_roc.json'

• 'dmcas_roc.json' file written to path

Examples

df <- data.frame(label = sample(c(1,0), 6000, replace = TRUE),
                 prob = runif(6000),
                 partition = rep_len(1:3, 6000)) ## partition will be ignored since it is 3rd column
               
calculateROCStat(targetName = "label",
                 targetPredicted = "prob",
                 df[df$partition == 1, ],
                 df[df$partition == 2, ],
                 df[df$partition == 3, ],
                 noFile = TRUE)