datarobot (version 2.8.0)

GetAllRocCurves: Retrieve ROC curve data for a model for all available data partitions (see DataPartition)

Description

Retrieve ROC curve data for a model for all available data partitions (see DataPartition)

Usage

GetAllRocCurves(model)

Arguments

model

An S3 object of class dataRobotModel like that returned by the function GetModel, or each element of the list returned by the function ListModels.

Value

list of lists where each list is renamed as the data partitions source and returns the following components:

• source. Character: data partitions for which ROC curve data is returned (see DataPartition).

• negativeClassPredictions. Numeric: example predictions for the negative class for each

• rocPoints. data.frame: each row represents pre-calculated metrics (accuracy, f1_score, false_negative_score, true_negative_score, true_positive_score, false_positive_score, true_negative_rate, false_positive_rate, true_positive_rate, matthews_correlation_coefficient, positive_predictive_value, negative_predictive_value, threshold) associated with different thresholds for the ROC curve.

• positiveClassPredictions. Numeric: example predictions for the positive class for each data partition source.

Examples

# NOT RUN {
  projectId <- "59a5af20c80891534e3c2bde"
  modelId <- "5996f820af07fc605e81ead4"
  model <- GetModel(projectId, modelId)
  GetAllRocCurves(model)
# }