correct the IBA call in the examples

Author: Guillaume Lemaitre

examples/evaluation/plot_metrics.py

@@ -16,7 +16,7 @@
 from imblearn import over_sampling as os
 from imblearn import pipeline as pl
 from imblearn.metrics import (geometric_mean_score,
-                              make_indexed_balanced_accuracy)
+                              make_index_balanced_accuracy)
 
 print(__doc__)
 
@@ -56,7 +56,7 @@
 # imbalanced learning problems.
 
 alpha = 0.1
-geo_mean = make_indexed_balanced_accuracy(alpha=alpha, squared=True)(
+geo_mean = make_index_balanced_accuracy(alpha=alpha, squared=True)(
     geometric_mean_score)
 
 print('The IBA using alpha = {} and the geometric mean: {}'.format(
@@ -65,7 +65,7 @@
         y_pred_bal)))
 
 alpha = 0.5
-geo_mean = make_indexed_balanced_accuracy(alpha=alpha, squared=True)(
+geo_mean = make_index_balanced_accuracy(alpha=alpha, squared=True)(
     geometric_mean_score)
 
 print('The IBA using alpha = {} and the geometric mean: {}'.format(