diff --git a/CHANGE_LOG.txt b/CHANGE_LOG.txt
index f90a0ba..29d9402 100644
--- a/CHANGE_LOG.txt
+++ b/CHANGE_LOG.txt
@@ -1,7 +1,7 @@
 Change Log 0.1.10
 -----------------
 
-- Added (aggregative) bootstrap for deriving confidence regions (confidence intervals, ellipses in the simplex, or
+- Added aggregative bootstrap for deriving confidence regions (confidence intervals, ellipses in the simplex, or
     ellipses in the CLR space). This method is efficient as it leverages the two-phases of the aggregative quantifiers.
     This method applies resampling only to the aggregation phase, thus avoiding to train many quantifiers, or
     classify multiple times the instances of a sample. See the new example no. 15.
diff --git a/quapy/method/__init__.py b/quapy/method/__init__.py
index bcd8287..f352ca5 100644
--- a/quapy/method/__init__.py
+++ b/quapy/method/__init__.py
@@ -1,4 +1,4 @@
-import method.confidence
+from . import confidence
 from . import base
 from . import aggregative
 from . import non_aggregative
@@ -23,7 +23,7 @@ AGGREGATIVE_METHODS = {
     aggregative.KDEyML,
     aggregative.KDEyCS,
     aggregative.KDEyHD,
-    method.confidence.BayesianCC
+    confidence.BayesianCC
 }
 
 BINARY_METHODS = {
@@ -46,7 +46,7 @@ MULTICLASS_METHODS = {
     aggregative.KDEyML,
     aggregative.KDEyCS,
     aggregative.KDEyHD,
-    method.confidence.BayesianCC
+    confidence.BayesianCC
 }
 
 NON_AGGREGATIVE_METHODS = {