diff --git a/classify.cc b/classify.cc
index d9a914b..539ca57 100644
--- a/classify.cc
+++ b/classify.cc
@@ -17,7 +17,7 @@ int classify(
 	int idx = 0;
 	for (const auto& sample : samples) {
 		float dist = dist_func(sample, test_sample);
-		if (dist >= tolerance) {
+		if (tolerance < 0 || dist <= tolerance) {
 			distances.push_back({cats[idx], dist});
 		}
 		idx++;
diff --git a/face.go b/face.go
index 1f959e7..2681188 100644
--- a/face.go
+++ b/face.go
@@ -171,8 +171,8 @@ func (rec *Recognizer) Classify(testSample Descriptor) int {
 	return int(C.facerec_classify(rec.ptr, cTestSample, -1))
 }
 
-// Same as Classify but allows to specify how much distance between
-// faces to consider it a match. Start with 0.6 if not sure.
+// Same as Classify but allows to specify max distance between faces to
+// consider it a match. Start with 0.6 if not sure.
 func (rec *Recognizer) ClassifyThreshold(testSample Descriptor, tolerance float32) int {
 	cTestSample := (*C.float)(unsafe.Pointer(&testSample))
 	cTolerance := C.float(tolerance)
diff --git a/face_test.go b/face_test.go
index bb24020..2b073f3 100644
--- a/face_test.go
+++ b/face_test.go
@@ -212,14 +212,14 @@ func TestIdols(t *testing.T) {
 }
 
 func TestClassifyThreshold(t *testing.T) {
-	id, err := recognizeAndClassify(getTPath("nana.jpg"), 0.8)
+	id, err := recognizeAndClassify(getTPath("nana.jpg"), 0.1)
 	if err != nil {
 		t.Fatalf("Can't recognize: %v", err)
 	}
 	if id >= 0 {
 		t.Fatalf("Shouldn't recognize but got %d category", id)
 	}
-	id, err = recognizeAndClassify(getTPath("nana.jpg"), 0.1)
+	id, err = recognizeAndClassify(getTPath("nana.jpg"), 0.8)
 	if err != nil {
 		t.Fatalf("Can't recognize: %v", err)
 	}