Added plot.show(block = True)

eval/metrics.py

@@ -179,9 +179,6 @@ def get_confusion_matrix(y_true, y_pred):
 
 def plot_confusion_matrix(confusion_mat, classifier_name):
 
-    accuracy = np.trace(confusion_mat) / float(np.sum(confusion_mat))
-    mis_class = 1 - accuracy
-
     plt.figure(figsize=(8, 6))
     plt.imshow(confusion_mat, interpolation='nearest', cmap=plt.get_cmap('Blues'))
     plt.title(classifier_name)
@@ -201,8 +198,8 @@ def plot_confusion_matrix(confusion_mat, classifier_name):
 
     plt.tight_layout()
     plt.ylabel('True/Gold')
-    plt.xlabel('Predicted \nAccuracy={:0.4f}; misclass={:0.4f}'.format(accuracy, mis_class))
-    plt.show()
+    plt.xlabel('Predicted')
+    plt.show(block=True)
 
 
 class Result: