diff --git a/archery/src/main/java/com/github/romualdrousseau/archery/config/Settings.java b/archery/src/main/java/com/github/romualdrousseau/archery/config/Settings.java
index 3d12ba3b..ae45ee99 100644
--- a/archery/src/main/java/com/github/romualdrousseau/archery/config/Settings.java
+++ b/archery/src/main/java/com/github/romualdrousseau/archery/config/Settings.java
@@ -5,7 +5,7 @@ public class Settings {
     public final static int MAX_STORE_ROWS = 10000;
 
     public final static float DEFAULT_RATIO_SIMILARITY = 0.35f;
-    public final static float DEFAULT_ENTITY_PROBABILITY = 0.6f;
+    public final static float DEFAULT_ENTITY_PROBABILITY = 0.45f;
     public final static float DEFAULT_CAPILLARITY_THRESHOLD = 0.5f;
 
     public final static String PIVOT_KEY_SUFFIX = "#PIVOT?";
diff --git a/archery/src/main/java/com/github/romualdrousseau/archery/header/DataTableHeader.java b/archery/src/main/java/com/github/romualdrousseau/archery/header/DataTableHeader.java
index f7b6d80b..86bcefd4 100644
--- a/archery/src/main/java/com/github/romualdrousseau/archery/header/DataTableHeader.java
+++ b/archery/src/main/java/com/github/romualdrousseau/archery/header/DataTableHeader.java
@@ -83,7 +83,6 @@ private List<String> sampleEntities() {
         final var N = Math.min(this.getTable().getNumberOfRows(), Settings.DEFAULT_SAMPLE_COUNT);
         final var entityVector = Tensor
                 .zeros(this.getTable().getSheet().getDocument().getModel().getEntityList().size());
-        float n = 0.0f;
         for (int i = 0; i < N; i++) {
             final BaseRow row = this.getTable().getRowAt(i);
             if (row == null) {
@@ -92,12 +91,9 @@ private List<String> sampleEntities() {
             final BaseCell cell = row.getCellAt(this.getColumnIndex());
             if (cell.hasValue() && cell.getSymbol().equals("e")) {
                 entityVector.iadd(cell.getEntityVector());
-                n += Settings.DEFAULT_ENTITY_PROBABILITY;
             }
         }
-        if (n > 0.0f) {
-            entityVector.if_lt_then(n, 0.0f, 1.0f);
-        }
+        entityVector.if_lt_then(N * Settings.DEFAULT_ENTITY_PROBABILITY, 0.0f, 1.0f);
         final var entityList = this.getTable().getSheet().getDocument().getModel().getEntityList();
         return IntStream.range(0, entityVector.size).boxed()
                 .filter(i -> entityVector.data[i] == 1)