Update LinearRegressionTest.java formats

Author: tkgowtham

src/test/java/com/thealgorithms/machinelearning/LinearRegressionTest.java

@@ -7,31 +7,31 @@
 
 class LinearRegressionTest {
 
-  @Test
-  void testLinearRegression() {
-    ArrayList<Double> dependentX = new ArrayList<>();
-    ArrayList<Double> independentY = new ArrayList<>();
-
-    dependentX.add(1.0);
-    independentY.add(2.0);
-    dependentX.add(2.0);
-    independentY.add(3.0);
-    dependentX.add(3.0);
-    independentY.add(4.0);
-    dependentX.add(4.0);
-    independentY.add(5.0);
-    dependentX.add(5.0);
-    independentY.add(6.0);
-
-    // Create LinearRegression object
-    LinearRegression lr = new LinearRegression(dependentX, independentY);
-
-    // Check the slope (m) and intercept (c)
-    assertEquals(1.0, lr.getM(), 0.001);
-    assertEquals(1.0, lr.getC(), 0.001);
-
-    // Check prediction for X = 6
-    double predictedY = lr.predictForX(6.0);
-    assertEquals(7.0, predictedY, 0.001);
-  }
+    @Test
+    void testLinearRegression() {
+        ArrayList<Double> dependentX = new ArrayList<>();
+        ArrayList<Double> independentY = new ArrayList<>();
+    
+        dependentX.add(1.0);
+        independentY.add(2.0);
+        dependentX.add(2.0);
+        independentY.add(3.0);
+        dependentX.add(3.0);
+        independentY.add(4.0);
+        dependentX.add(4.0);
+        independentY.add(5.0);
+        dependentX.add(5.0);
+        independentY.add(6.0);
+    
+        // Create LinearRegression object
+        LinearRegression lr = new LinearRegression(dependentX, independentY);
+    
+        // Check the slope (m) and intercept (c)
+        assertEquals(1.0, lr.getM(), 0.001);
+        assertEquals(1.0, lr.getC(), 0.001);
+    
+        // Check prediction for X = 6
+        double predictedY = lr.predictForX(6.0);
+        assertEquals(7.0, predictedY, 0.001);
+    }
 }