diff --git a/ext/opencv/facerecognizer.cpp b/ext/opencv/facerecognizer.cpp
index 371f843..d52a448 100644
--- a/ext/opencv/facerecognizer.cpp
+++ b/ext/opencv/facerecognizer.cpp
@@ -92,28 +92,6 @@ rb_train(VALUE self, VALUE src, VALUE labels)
  */
 VALUE
 rb_predict(VALUE self, VALUE src)
-{
-  cv::Mat mat = cv::Mat(CVMAT_WITH_CHECK(src));
-  cv::FaceRecognizer *self_ptr = FACERECOGNIZER(self);
-  int label;
-  try {
-    label = self_ptr->predict(mat);
-  }
-  catch (cv::Exception& e) {
-    raise_cverror(e);
-  }
-
-  return INT2NUM(label);
-}
-
-/*
- * call-seq:
- *   predict_with_confidence(src)
- * 
- * Predicts a label and associated confidence (e.g. distance) for a given input image.
- */
-VALUE
-rb_predict_with_confidence(VALUE self, VALUE src)
 {
   cv::Mat mat = cv::Mat(CVMAT_WITH_CHECK(src));
   cv::FaceRecognizer *self_ptr = FACERECOGNIZER(self);
@@ -188,7 +166,6 @@ define_ruby_class()
   rb_klass = rb_define_class_under(opencv, "FaceRecognizer", cAlgorithm::rb_class());
   rb_define_method(rb_klass, "train", RUBY_METHOD_FUNC(rb_train), 2);
   rb_define_method(rb_klass, "predict", RUBY_METHOD_FUNC(rb_predict), 1);
-  rb_define_method(rb_klass, "predict_with_confidence", RUBY_METHOD_FUNC(rb_predict_with_confidence), 1);
   rb_define_method(rb_klass, "save", RUBY_METHOD_FUNC(rb_save), 1);
   rb_define_method(rb_klass, "load", RUBY_METHOD_FUNC(rb_load), 1);
 }
diff --git a/ext/opencv/facerecognizer.h b/ext/opencv/facerecognizer.h
index 7112bba..e662b9b 100644
--- a/ext/opencv/facerecognizer.h
+++ b/ext/opencv/facerecognizer.h
@@ -22,6 +22,7 @@ VALUE rb_class();
 
 void define_ruby_class();
 VALUE rb_train(VALUE self, VALUE src, VALUE labels);
+VALUE rb_predict(VALUE self, VALUE src);
 VALUE rb_save(VALUE self, VALUE filename);
 VALUE rb_load(VALUE self, VALUE filename);
 
diff --git a/test/test_eigenfaces.rb b/test/test_eigenfaces.rb
index 621891e..d16e953 100755
--- a/test/test_eigenfaces.rb
+++ b/test/test_eigenfaces.rb
@@ -48,26 +48,15 @@ class TestEigenFaces < OpenCVTestCase
     img = CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)
     label = 1
     @eigenfaces.train([img], [label])
-    assert_equal(label, @eigenfaces.predict(img))
+    predicted_label, predicted_confidence = @eigenfaces.predict(img)
+    assert_equal(1, predicted_label)
+    assert_in_delta(0.0, predicted_confidence, 0.01)
 
     assert_raise(TypeError) {
       @eigenfaces.predict(DUMMY_OBJ)
     }
   end
 
-  def test_predict_with_confidence
-    img = CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)
-    label = 1
-    @eigenfaces.train([img], [label])
-    lbl, conf = @eigenfaces.predict_with_confidence(img)
-    assert_equal(label, lbl)
-    assert_equal(0.0, conf)
-
-    assert_raise(TypeError) {
-      @eigenfaces.predict_with_confidence(DUMMY_OBJ)
-    }
-  end
-
   def test_save
     img = CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)
     label = 1
diff --git a/test/test_fisherfaces.rb b/test/test_fisherfaces.rb
index 8a9c154..4eda0aa 100755
--- a/test/test_fisherfaces.rb
+++ b/test/test_fisherfaces.rb
@@ -44,25 +44,15 @@ class TestFisherFaces < OpenCVTestCase
   end
 
   def test_predict
-    label = 1
-    assert_equal(1, @fisherfaces_trained.predict(@images[0]))
+    predicted_label, predicted_confidence = @fisherfaces_trained.predict(@images[0])
+    assert_equal(1, predicted_label)
+    assert_in_delta(0.0, predicted_confidence, 0.01)
 
     assert_raise(TypeError) {
       @fisherfaces_trained.predict(DUMMY_OBJ)
     }
   end
 
-  def test_predict_with_confidence
-    label = 1
-    lbl, conf = @fisherfaces_trained.predict_with_confidence(@images[0])
-    assert_equal(1, lbl)
-    assert_equal(0.0, conf)
-
-    assert_raise(TypeError) {
-      @fisherfaces_trained.predict_with_confidence(DUMMY_OBJ)
-    }
-  end
-
   def test_save
     filename = "fisherfaces_save-#{DateTime.now.strftime('%Y%m%d%H%M%S')}.xml"
     begin
diff --git a/test/test_lbph.rb b/test/test_lbph.rb
index 64b818b..20cb433 100755
--- a/test/test_lbph.rb
+++ b/test/test_lbph.rb
@@ -52,7 +52,9 @@ class TestLBPH < OpenCVTestCase
   end
 
   def test_predict
-    assert_equal(1, @lbph_trained.predict(@images[0]))
+    predicted_label, predicted_confidence = @lbph_trained.predict(@images[0])
+    assert_equal(1, predicted_label)
+    assert_in_delta(0.0, predicted_confidence, 0.01)
 
     assert_raise(TypeError) {
       @lbph_trained.predict(DUMMY_OBJ)