Computes grid performance with a specified performance function

Usage

computeGridPerformance(prediction, param, performanceFunct = "computeAuc")

Arguments

prediction: a dataframe with predictions and outcomeCount per rowId
param: a list of hyperparameters
performanceFunct: a string specifying which performance function to use . Default 'compute_AUC'

Value

A list with overview of the performance

Examples

prediction <- data.frame(rowId = c(1, 2, 3, 4, 5),
                         outcomeCount = c(0, 1, 0, 1, 0),
                         value = c(0.1, 0.9, 0.2, 0.8, 0.3),
                         index = c(1, 1, 1, 1, 1))
param <- list(hyperParam1 = 5, hyperParam2 = 100)
computeGridPerformance(prediction, param, performanceFunct = "computeAuc")
#> $metric
#> [1] "computeAuc"
#> 
#> $cvPerformance
#> [1] 1
#> 
#> $cvPerformancePerFold
#> [1] 1
#> 
#> $param
#> $param$hyperParam1
#> [1] 5
#> 
#> $param$hyperParam2
#> [1] 100
#> 
#> 
#> $hyperSummary
#>       metric fold value hyperParam1 hyperParam2
#> 1 computeAuc   CV     1           5         100
#> 2 computeAuc    1     1           5         100
#>