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test_uc2_usecases.R
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test_uc2_usecases.R
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#' @importFrom precrec
context("UC 2: Use cases 2")
test_that("single class - positive", {
# Data preparation
sssamps1 <- create_sim_samples(1, 10, 0, "random")
ssmdat1 <- mmdata(sssamps1$scores, sssamps1$labels)
smsamps1 <- create_sim_samples(5, 10, 0, "random")
smmdat1 <- mmdata(smsamps1$scores, smsamps1$labels)
sssamps2 <- create_sim_samples(1, 5, 5, "random")
ssmdat2 <- mmdata(sssamps2$scores, sssamps2$labels)
smsamps2 <- create_sim_samples(5, 5, 5, "random")
smmdat2 <- mmdata(smsamps2$scores, smsamps2$labels)
# Test
expect_error(
evalmod(ssmdat1),
"Curves cannot be calculated. Only a single class"
)
expect_error(
evalmod(smmdat1),
"Curves cannot be calculated. Only a single class"
)
expect_silent(evalmod(ssmdat2))
expect_silent(evalmod(smmdat2))
})
test_that("single class - negative", {
# Data preparation
sssamps1 <- create_sim_samples(1, 0, 10, "random")
ssmdat1 <- mmdata(sssamps1$scores, sssamps1$labels)
smsamps1 <- create_sim_samples(5, 0, 10, "random")
smmdat1 <- mmdata(smsamps1$scores, smsamps1$labels)
sssamps2 <- create_sim_samples(1, 5, 5, "random")
ssmdat2 <- mmdata(sssamps2$scores, sssamps2$labels)
smsamps2 <- create_sim_samples(5, 5, 5, "random")
smmdat2 <- mmdata(smsamps2$scores, smsamps2$labels)
# Test
expect_error(
evalmod(ssmdat1),
"Curves cannot be calculated. Only a single class"
)
expect_error(
evalmod(smmdat1),
"Curves cannot be calculated. Only a single class"
)
expect_silent(evalmod(ssmdat2))
expect_silent(evalmod(smmdat2))
})
test_that("single class - positive (mode='basic')", {
# Data preparation
sssamps1 <- create_sim_samples(1, 10, 0, "random")
ssmdat1 <- mmdata(sssamps1$scores, sssamps1$labels)
smsamps1 <- create_sim_samples(5, 10, 0, "random")
smmdat1 <- mmdata(smsamps1$scores, smsamps1$labels)
sssamps2 <- create_sim_samples(1, 5, 5, "random")
ssmdat2 <- mmdata(sssamps2$scores, sssamps2$labels)
smsamps2 <- create_sim_samples(5, 5, 5, "random")
smmdat2 <- mmdata(smsamps2$scores, smsamps2$labels)
# Test
expect_error(
evalmod(ssmdat1, mode = "basic"),
"Basic measures cannot be calculated. Only a single class"
)
expect_error(
evalmod(smmdat1, mode = "basic"),
"Basic measures cannot be calculated. Only a single class"
)
expect_silent(evalmod(ssmdat2, mode = "basic"))
expect_silent(evalmod(smmdat2, mode = "basic"))
})
test_that("single class - negative (mode='basic')", {
# Data preparation
sssamps1 <- create_sim_samples(1, 0, 10, "random")
ssmdat1 <- mmdata(sssamps1$scores, sssamps1$labels)
smsamps1 <- create_sim_samples(5, 0, 10, "random")
smmdat1 <- mmdata(smsamps1$scores, smsamps1$labels)
sssamps2 <- create_sim_samples(1, 5, 5, "random")
ssmdat2 <- mmdata(sssamps2$scores, sssamps2$labels)
smsamps2 <- create_sim_samples(5, 5, 5, "random")
smmdat2 <- mmdata(smsamps2$scores, smsamps2$labels)
# Test
expect_error(
evalmod(ssmdat1, mode = "basic"),
"Basic measures cannot be calculated. Only a single class"
)
expect_error(
evalmod(smmdat1, mode = "basic"),
"Basic measures cannot be calculated. Only a single class"
)
expect_silent(evalmod(ssmdat2, mode = "basic"))
expect_silent(evalmod(smmdat2, mode = "basic"))
})
test_that("single class - positive (mode='aucroc')", {
# Data preparation
sssamps1 <- create_sim_samples(1, 10, 0, "random")
ssmdat1 <- mmdata(sssamps1$scores, sssamps1$labels)
smsamps1 <- create_sim_samples(5, 10, 0, "random")
smmdat1 <- mmdata(smsamps1$scores, smsamps1$labels)
sssamps2 <- create_sim_samples(1, 5, 5, "random")
ssmdat2 <- mmdata(sssamps2$scores, sssamps2$labels)
smsamps2 <- create_sim_samples(5, 5, 5, "random")
smmdat2 <- mmdata(smsamps2$scores, smsamps2$labels)
# Test
expect_error(
evalmod(ssmdat1, mode = "aucroc"),
"AUCs with the U statistic cannot be calculated. Only a single class"
)
expect_error(
evalmod(smmdat1, mode = "aucroc"),
"AUCs with the U statistic cannot be calculated. Only a single class"
)
expect_silent(evalmod(ssmdat2, mode = "aucroc"))
expect_silent(evalmod(smmdat2, mode = "aucroc"))
})
test_that("single class - negative (mode='aucroc')", {
# Data preparation
sssamps1 <- create_sim_samples(1, 0, 10, "random")
ssmdat1 <- mmdata(sssamps1$scores, sssamps1$labels)
smsamps1 <- create_sim_samples(5, 0, 10, "random")
smmdat1 <- mmdata(smsamps1$scores, smsamps1$labels)
sssamps2 <- create_sim_samples(1, 5, 5, "random")
ssmdat2 <- mmdata(sssamps2$scores, sssamps2$labels)
smsamps2 <- create_sim_samples(5, 5, 5, "random")
smmdat2 <- mmdata(smsamps2$scores, smsamps2$labels)
# Test
expect_error(
evalmod(ssmdat1, mode = "aucroc"),
"AUCs with the U statistic cannot be calculated. Only a single class"
)
expect_error(
evalmod(smmdat1, mode = "aucroc"),
"AUCs with the U statistic cannot be calculated. Only a single class"
)
expect_silent(evalmod(ssmdat2, mode = "aucroc"))
expect_silent(evalmod(smmdat2, mode = "aucroc"))
})