diff --git a/R/LearnerClustDBSCAN.R b/R/LearnerClustDBSCAN.R
index cedbf177..91366ce5 100644
--- a/R/LearnerClustDBSCAN.R
+++ b/R/LearnerClustDBSCAN.R
@@ -24,7 +24,7 @@ LearnerClustDBSCAN = R6Class("LearnerClustDBSCAN",
         eps = p_dbl(lower = 0, tags = c("required", "train")),
         minPts = p_int(lower = 0L, default = 5L, tags = "train"),
         borderPoints = p_lgl(default = TRUE, tags = "train"),
-        weights = p_uty(tags = "train"), custom_check = crate(check_numeric),
+        weights = p_uty(tags = "train", custom_check = crate(check_numeric)),
         search = p_fct(levels = c("kdtree", "linear", "dist"), default = "kdtree", tags = "train"),
         bucketSize = p_int(lower = 1L, default = 10L, tags = "train"),
         splitRule = p_fct(levels = c("STD", "MIDPT", "FAIR", "SL_MIDPT", "SL_FAIR", "SUGGEST"), default = "SUGGEST", tags = "train"),
diff --git a/R/LearnerClustDBSCANfpc.R b/R/LearnerClustDBSCANfpc.R
index b46a1e12..91276740 100644
--- a/R/LearnerClustDBSCANfpc.R
+++ b/R/LearnerClustDBSCANfpc.R
@@ -25,7 +25,7 @@ LearnerClustDBSCANfpc = R6Class("LearnerClustDBSCANfpc",
         method = p_fct(levels = c("hybrid", "raw", "dist"), tags = "train"),
         seeds = p_lgl(default = TRUE, tags = "train"),
         showplot = p_uty(default = FALSE, tags = "train", custom_check = crate(function(x) {
-          if (test_flag(x) && test_int(x, lower = 0, upper = 2)) {
+          if (test_flag(x) || test_int(x, lower = 0, upper = 2)) {
             TRUE
           } else {
             "`showplot` need to be either logical or integer between 0 and 2"