diff --git a/src/machine_learning/perceptron/Perceptron.java b/src/machine_learning/perceptron/Perceptron.java
index 3d84713..5ee45ef 100644
--- a/src/machine_learning/perceptron/Perceptron.java
+++ b/src/machine_learning/perceptron/Perceptron.java
@@ -6,10 +6,12 @@ import java.util.List;
 
 public class Perceptron
 {
+    private Vector weight;
+
     public void learn(List<Vector> positives, List<Vector> negatives)
     {
         var iterationCounter = 0;
-        var weight = this.getInitializationVector(positives, negatives);
+        this.weight = this.getInitializationVector(positives, negatives);
 
         do
         {
diff --git a/test/machine_learning/perceptron/PerceptronTest.java b/test/machine_learning/perceptron/PerceptronTest.java
index 5acce2e..4740fca 100644
--- a/test/machine_learning/perceptron/PerceptronTest.java
+++ b/test/machine_learning/perceptron/PerceptronTest.java
@@ -1,5 +1,6 @@
 package machine_learning.perceptron;
 
+import machine_learning.Vector;
 import org.junit.jupiter.api.BeforeAll;
 import org.junit.jupiter.api.Test;
 import org.junit.jupiter.api.TestInstance;
@@ -18,17 +19,17 @@ class PerceptronTest
     {
         double biasUnit = 1d;
         this.positives = new ArrayList<>(List.of(
-                new Vector(List.of(8d, 4d, biasUnit)),
-                new Vector(List.of(8d, 6d, biasUnit)),
-                new Vector(List.of(9d, 2d, biasUnit)),
-                new Vector(List.of(9d, 5d, biasUnit)))
+                new Vector(8d, 4d, biasUnit),
+                new Vector(8d, 6d, biasUnit),
+                new Vector(9d, 2d, biasUnit),
+                new Vector(9d, 5d, biasUnit))
         );
 
         this.negatives = new ArrayList<>(List.of(
-                new Vector(List.of(6d, 1d, biasUnit)),
-                new Vector(List.of(7d, 3d, biasUnit)),
-                new Vector(List.of(8d, 2d, biasUnit)),
-                new Vector(List.of(9d, 0d, biasUnit)))
+                new Vector(6d, 1d, biasUnit),
+                new Vector(7d, 3d, biasUnit),
+                new Vector(8d, 2d, biasUnit),
+                new Vector(9d, 0d, biasUnit))
         );
     }