Description Usage Arguments Value Examples
suggest_probPop
Compare class probability distribution based on
the population of observations, sorted by probability values.
x-axis: percentile of class probability.
y-axis: observation density.
1 | suggest_probPop(addTo, outChar, predTag = "pred_test", modelTag = NULL)
|
addTo |
Summary list that contains model fits to compare. |
outChar |
A charactor value of output class name. |
predTag |
Select prediction results that contains predTag on their name. |
modelTag |
Select model fits that contains modelTag on their name. |
Plot indicating density distribution by observed population.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ## Not run:
library(mlbench)
data(PimaIndiansDiabetes)
index <- sample(seq_len(nrow(PimaIndiansDiabetes)), 500)
trainingSet <- PimaIndiansDiabetes[index, ]
testSet <- PimaIndiansDiabetes[-index, ]
x <- trainingSet[, -9]
y <- trainingSet[, 9]
x_test <- testSet[, -9]
y_test <- testSet[, 9]
sSummary <- list()
sSummary <- add_model(sSummary, x, y)
sSummary <- add_model(sSummary, x, y, model = c("C5.0Cost", "glmnet"), modelTag = "others")
sSummary <- add_prob(sSummary, x_test, y_test, outChar = "pos")
suggest_probPop(sSummary, "pos")
suggest_probPop(sSummary, "pos", modelTag = "glm|svm")
# vignette("modeval") #check a vignette for further details
## End(Not run)
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