diff --git a/src/main/scala/com/amazon/deequ/suggestions/rules/RetainCompletenessRule.scala b/src/main/scala/com/amazon/deequ/suggestions/rules/RetainCompletenessRule.scala
index f632b7d4..df2f4930 100644
--- a/src/main/scala/com/amazon/deequ/suggestions/rules/RetainCompletenessRule.scala
+++ b/src/main/scala/com/amazon/deequ/suggestions/rules/RetainCompletenessRule.scala
@@ -26,8 +26,11 @@ import scala.math.BigDecimal.RoundingMode
 /**
   * If a column is incomplete in the sample, we model its completeness as a binomial variable,
   * estimate a confidence interval and use this to define a lower bound for the completeness
+  *
+  * @param minCompleteness : minimum completeness threshold to determine if rule should be applied
+  * @param maxCompleteness : maximum completeness threshold to determine if rule should be applied
   */
-case class RetainCompletenessRule(minCompleteness: Double = 0.2, maxCompleteness: Double = 1.0, sensitivity: Double = 1.96) extends ConstraintRule[ColumnProfile] {
+case class RetainCompletenessRule(minCompleteness: Double = 0.2, maxCompleteness: Double = 1.0) extends ConstraintRule[ColumnProfile] {
   override def shouldBeApplied(profile: ColumnProfile, numRecords: Long): Boolean = {
     profile.completeness > minCompleteness && profile.completeness < maxCompleteness
   }