diff --git a/CHANGELOG.md b/CHANGELOG.md
index be54df2..e258e89 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -14,6 +14,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Changed
 
 - Sample app now is a separate target in the Makefile and shows how to use the library with a sample dataset
+- The worse model count in BoostAODE is reset to 0 every time a new model produces better accuracy, so the tolerance of the model is meant to be the number of **consecutive** models that produce worse accuracy.
 
 ## [1.0.4] 2024-03-06
 
diff --git a/README.md b/README.md
index 8fa88e8..e227b0b 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,7 @@
 # BayesNet
 
-<a href="#"><img src="https://img.shields.io/badge/c++-%2300599C.svg?style=flat&logo=c%2B%2B&logoColor=white"></img></a>
-[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
+![C++](https://img.shields.io/badge/c++-%2300599C.svg?style=flat&logo=c%2B%2B&logoColor=white)
+[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](<https://opensource.org/licenses/MIT>)
 ![Gitea Release](https://img.shields.io/gitea/v/release/rmontanana/bayesnet?gitea_url=https://gitea.rmontanana.es:3000)
 ![Gitea Last Commit](https://img.shields.io/gitea/last-commit/rmontanana/bayesnet?gitea_url=https://gitea.rmontanana.es:3000&logo=gitea)
 
diff --git a/bayesnet/ensembles/BoostAODE.cc b/bayesnet/ensembles/BoostAODE.cc
index 1d16f1c..400169d 100644
--- a/bayesnet/ensembles/BoostAODE.cc
+++ b/bayesnet/ensembles/BoostAODE.cc
@@ -216,7 +216,7 @@ namespace bayesnet {
         double priorAccuracy = 0.0;
         double delta = 1.0;
         double convergence_threshold = 1e-4;
-        int count = 0; // number of times the accuracy is lower than the convergence_threshold
+        int worse_model_count = 0; // number of times the accuracy is lower than the convergence_threshold
         // Step 0: Set the finish condition
         // if not repeatSparent a finish condition is run out of features
         // n_models == maxModels
@@ -274,11 +274,13 @@ namespace bayesnet {
                     delta = accuracy - priorAccuracy;
                 }
                 if (delta < convergence_threshold) {
-                    count++;
+                    worse_model_count++;
+                } else {
+                    worse_model_count = 0; // Reset the counter if the model performs better
                 }
                 priorAccuracy = accuracy;
             }
-            exitCondition = n_models >= maxModels && repeatSparent || count > tolerance;
+            exitCondition = n_models >= maxModels && repeatSparent || worse_model_count > tolerance;
         }
         if (featuresUsed.size() != features.size()) {
             notes.push_back("Used features in train: " + std::to_string(featuresUsed.size()) + " of " + std::to_string(features.size()));