Nothing
context("Testing 'get_conf_mat_for_thres'")
test_that("it returns proper results", {
predictions = c(-3, -2, -1, 0, 1)
observed = c(1, 0, 1, 0, 0)
res = get_conf_mat_for_thres(predictions, observed, thres = -4, direction = "<")
expect_equal(res[["TP"]], 0)
expect_equal(res[["FN"]], 2)
expect_equal(res[["TN"]], 3)
expect_equal(res[["FP"]], 0)
res = get_conf_mat_for_thres(predictions, observed, thres = -4, direction = ">")
expect_equal(res[["TP"]], 2)
expect_equal(res[["FN"]], 0)
expect_equal(res[["TN"]], 0)
expect_equal(res[["FP"]], 3)
res = get_conf_mat_for_thres(predictions, observed, thres = -1.5, direction = "<")
expect_equal(res[["TP"]], 1)
expect_equal(res[["FN"]], 1)
expect_equal(res[["TN"]], 2)
expect_equal(res[["FP"]], 1)
res = get_conf_mat_for_thres(predictions, observed, thres = -1.5, direction = ">")
expect_equal(res[["TP"]], 1)
expect_equal(res[["FN"]], 1)
expect_equal(res[["TN"]], 1)
expect_equal(res[["FP"]], 2)
res = get_conf_mat_for_thres(predictions, observed, thres = 0.5, direction = "<")
expect_equal(res[["TP"]], 2)
expect_equal(res[["FN"]], 0)
expect_equal(res[["TN"]], 1)
expect_equal(res[["FP"]], 2)
res = get_conf_mat_for_thres(predictions, observed, thres = 0.5, direction = ">")
expect_equal(res[["TP"]], 0)
expect_equal(res[["FN"]], 2)
expect_equal(res[["TN"]], 2)
expect_equal(res[["FP"]], 1)
res = get_conf_mat_for_thres(predictions, observed, thres = 2, direction = "<")
expect_equal(res[["TP"]], 2)
expect_equal(res[["FN"]], 0)
expect_equal(res[["TN"]], 0)
expect_equal(res[["FP"]], 3)
res = get_conf_mat_for_thres(predictions, observed, thres = 2, direction = ">")
expect_equal(res[["TP"]], 0)
expect_equal(res[["FN"]], 2)
expect_equal(res[["TN"]], 3)
expect_equal(res[["FP"]], 0)
})
context("Testing 'get_roc_stats'")
test_that("it returns proper results", {
predictions = c(-3, -2, -1, 0, 1)
observed = c(1, 0, 1, 0, 0)
roc_df = cbind.data.frame(predictions, observed)
res = get_roc_stats(df = roc_df, pred_col = "predictions", label_col = "observed")
expect_equal(res$AUC, 0.83333, tolerance = .00001)
res_rev = get_roc_stats(df = roc_df, pred_col = "predictions", label_col = "observed", direction = ">")
expect_equal(res_rev$AUC, 0.16666, tolerance = .00001)
})
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